AAAI 2023
2021 papers
3D Assembly Completion
Weihao Wang, Rufeng Zhang, Mingyu You, Hongjun Zhou, Bin He 3D Human Pose Lifting with Grid Convolution
Yangyuxuan Kang, Yuyang Liu, Anbang Yao, Shandong Wang, Enhua Wu 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning
Feng Lu, Wei Li, Zhiqiang Zhou, Cheng Song, Yifei Sun, Yuwei Zhang, Yufei Ren, Xiaofei Liao, Hai Jin, Ailin Luo, Albert Y. Zomaya A Continual Pre-Training Approach to Tele-Triaging Pregnant Women in Kenya
Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav A Coreset Learning Reality Check
Fred Lu, Edward Raff, James Holt A Data Source for Reasoning Embodied Agents
Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level
Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation
Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging
Fengyi Yang, Xi Zhou, Yating Yang, Bo Ma, Rui Dong, Abibulla Atawulla A Formal Metareasoning Model of Concurrent Planning and Execution
Amihay Elboher, Ava Bensoussan, Erez Karpas, Wheeler Ruml, Shahaf S. Shperberg, Solomon Eyal Shimony A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension
Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang A Holistic Approach to Undesired Content Detection in the Real World
Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Lee, Steven Adler, Angela Jiang, Lilian Weng A Latent-Variable Model for Intrinsic Probing
Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein A Machine with Short-Term, Episodic, and Semantic Memory Systems
Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen A Parameterized Theory of PAC Learning
Cornelius Brand, Robert Ganian, Kirill Simonov A Provable Framework of Learning Graph Embeddings via Summarization
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng A Risk-Sensitive Approach to Policy Optimization
Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal, Are Løkken Ottesen, Ella-Lovise Hammervold Rørvik, Martin Mølnå, Gleb Sizov, Odd Erik Gundersen A Simple Baseline for Multi-Camera 3D Object Detection
Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou A Simple yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang Abstract Argumentation Framework with Conditional Preferences
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration
Jasmin Brandt, Elias Schede, Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney Accommodating Audio Modality in CLIP for Multimodal Processing
Ludan Ruan, Anwen Hu, Yuqing Song, Liang Zhang, Sipeng Zheng, Qin Jin ACE: Cooperative Multi-Agent Q-Learning with Bidirectional Action-Dependency
Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang Active Token Mixer
Guoqiang Wei, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer
Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation
Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li Adaptive Mixing of Auxiliary Losses in Supervised Learning
Durga Sivasubramanian, Ayush Maheshwari, Prathosh Ap, Pradeep Shenoy, Ganesh Ramakrishnan Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo ADEPT: A DEbiasing PrompT Framework
Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah Adversarial Alignment for Source Free Object Detection
Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li Adversarial Self-Attention for Language Understanding
Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang AI Made by Youth: A Conversational AI Curriculum for Middle School Summer Camps
Yukyeong Song, Gloria Ashiya Katuka, Joanne Barrett, Xiaoyi Tian, Amit Kumar, Tom McKlin, Mehmet Celepkolu, Kristy Elizabeth Boyer, Maya Israel AI Model Factory: Scaling AI for Industry 4.0 Applications
Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam AIO-P: Expanding Neural Performance Predictors Beyond Image Classification
Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification
Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller, Roberto de Beauclair Seixas, Roberto I. Oliveira, Paulo Orenstein Amodal Instance Segmentation via Prior-Guided Expansion
Junjie Chen, Li Niu, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang AMOM: Adaptive Masking over Masking for Conditional Masked Language Model
Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang An Equivalence Analysis of Binary Quantification Methods
Alberto Castaño, Jaime Alonso, Pablo González, Juan José del Coz An Introduction to Rule-Based Feature and Object Perception for Middle School Students
Daniella DiPaola, Parker Malachowsky, Nancye Blair Black, Sharifa Alghowinem, Xiaoxue Du, Cynthia Breazeal Analogical Inference Enhanced Knowledge Graph Embedding
Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos
Deborah Mateja, Rebecca Armbruster, Jonathan Baumert, Tim Bleil, Jakob Langenbahn, Jan Christian Schwedhelm, Sarah Sester, Armin Heinzl Anonymization for Skeleton Action Recognition
Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim Approval-Based Voting with Mixed Goods
Xinhang Lu, Jannik Peters, Haris Aziz, Xiaohui Bei, Warut Suksompong AUC Maximization for Low-Resource Named Entity Recognition
Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio
Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li Augmenting Flight Training with AI to Efficiently Train Pilots
Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay Auto-Weighted Multi-View Clustering for Large-Scale Data
Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou Automata Cascades: Expressivity and Sample Complexity
Alessandro Ronca, Nadezda Alexandrovna Knorozova, Giuseppe De Giacomo Automatically Verifying Expressive Epistemic Properties of Programs
Francesco Belardinelli, Ioana Boureanu, Vadim Malvone, Fortunat Rajaona AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents
Xi Yang, Jie Zhang, Han Fang, Chang Liu, Zehua Ma, Weiming Zhang, Nenghai Yu AutoSTL: Automated Spatio-Temporal Multi-Task Learning
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang Avocodo: Generative Adversarial Network for Artifact-Free Vocoder
Taejun Bak, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae, Young-Sun Joo Background-Mixed Augmentation for Weakly Supervised Change Detection
Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism
Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro Ballot Length in Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg Bayesian Optimization-Based Combinatorial Assignment
Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken Beam Search Optimized Batch Bayesian Active Learning
Jingyu Sun, Hongjie Zhai, Osamu Saisho, Susumu Takeuchi BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation
Xiangyu Qin, Zhiyu Wu, Tingting Zhang, Yanran Li, Jian Luan, Bin Wang, Li Wang, Jinshi Cui Better Peer Grading Through Bayesian Inference
Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection
Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, Zeming Li Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility
Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha Bi-Directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In So Kweon, Dong-Geol Choi Bidirectional Optical Flow NeRF: High Accuracy and High Quality Under Fewer Views
Shuo Chen, Binbin Yan, Xinzhu Sang, Duo Chen, Peng Wang, Xiao Guo, Chongli Zhong, Huaming Wan BiRDy: Bullying Role Detection in Multi-Party Chats
Anaïs Ollagnier, Elena Cabrio, Serena Villata, Sara Tonelli Black-Box Adversarial Attack on Time Series Classification
Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang Blending Advertising with Organic Content in E-Commerce via Virtual Bids
Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Peiqin Gu, Xiliang Lin, Wenlong Chen, Junsheng Jin, Fanan Zhu, Changping Peng, Yongjun Bao, Zhangang Lin, Weipeng Yan, Jingping Shao Boosted Dynamic Neural Networks
Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi Boosting Few-Shot Text Classification via Distribution Estimation
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla Boosting Point Clouds Rendering via Radiance Mapping
Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu Bootstrapping Multi-View Representations for Fake News Detection
Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge Boundary Graph Neural Networks for 3D Simulations
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter Calibrated Teacher for Sparsely Annotated Object Detection
Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention
Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract)
Minghao Liu, Pei Huang, Fuqi Jia, Fan Zhang, Yuchen Sun, Shaowei Cai, Feifei Ma, Jian Zhang Can We Find Strong Lottery Tickets in Generative Models?
Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo Can We Trust Fair-AI?
Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini Causal Effect Identification in Cluster DAGs
Tara V. Anand, Adèle H. Ribeiro, Jin Tian, Elias Bareinboim Causes of Stability in Dynamic Coalition Formation
Niclas Boehmer, Martin Bullinger, Anna Maria Kerkmann Censored Fairness Through Awareness
Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss Certifiable Out-of-Distribution Generalization
Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu Certifying Fairness of Probabilistic Circuits
Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi CF-ViT: A General Coarse-to-Fine Method for Vision Transformer
Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji Circuit Minimization with QBF-Based Exact Synthesis
Franz-Xaver Reichl, Friedrich Slivovsky, Stefan Szeider Class Fairness in Online Matching
Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg Shah ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Zhongliang Jing, Minzhe Li Cluster-Guided Contrastive Graph Clustering Network
Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu CMNet: Contrastive Magnification Network for Micro-Expression Recognition
Mengting Wei, Xingxun Jiang, Wenming Zheng, Yuan Zong, Cheng Lu, Jiateng Liu Co-Imitation: Learning Design and Behaviour by Imitation
Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki CodeStylist: A System for Performing Code Style Transfer Using Neural Networks
Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas Combating Mode Collapse via Offline Manifold Entropy Estimation
Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng Combining Slow and Fast: Complementary Filtering for Dynamics Learning
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe Compact Transformer Tracker with Correlative Masked Modeling
Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang Complexity of Safety and coSafety Fragments of Linear Temporal Logic
Alessandro Artale, Luca Geatti, Nicola Gigante, Andrea Mazzullo, Angelo Montanari Compressing Cross-Lingual Multi-Task Models at Qualtrics
Daniel Campos, Daniel J. Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak Computing Divergences Between Discrete Decomposable Models
Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb Conceptual Reinforcement Learning for Language-Conditioned Tasks
Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen ConceptX: A Framework for Latent Concept Analysis
Firoj Alam, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Abdul Rafae Khan, Jia Xu Concurrent Multi-Label Prediction in Event Streams
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett Conditional Syntax Splitting for Non-Monotonic Inference Operators
Jesse Heyninck, Gabriele Kern-Isberner, Thomas Andreas Meyer, Jonas Philipp Haldimann, Christoph Beierle Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan Constraint Optimization over Semirings
Aduri Pavan, Kuldeep S. Meel, N. V. Vinodchandran, Arnab Bhattacharyya Context-Aware Transformer for 3D Point Cloud Automatic Annotation
Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong ConTextual Masked Auto-Encoder for Dense Passage Retrieval
Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu Continual Graph Convolutional Network for Text Classification
Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding Continuous Mixtures of Tractable Probabilistic Models
Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio P. de Campos, Robert Peharz Continuous Trajectory Generation Based on Two-Stage GAN
Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang Contrastive Attention Networks for Attribution of Early Modern Print
Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren Contrastive Open Set Recognition
Baile Xu, Furao Shen, Jian Zhao Controllable Image Captioning via Prompting
Ning Wang, Jiahao Xie, Jihao Wu, Mingbo Jia, Linlin Li Counterfactuals for the Future
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu Covariate-Shift Generalization via Random Sample Weighting
Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie Cross-Modal Distillation for Speaker Recognition
Yufeng Jin, Guosheng Hu, Haonan Chen, Duoqian Miao, Liang Hu, Cairong Zhao Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification
Yongguo Ling, Zhun Zhong, Zhiming Luo, Fengxiang Yang, Donglin Cao, Yaojin Lin, Shaozi Li, Nicu Sebe CrysGNN: Distilling Pre-Trained Knowledge to Enhance Property Prediction for Crystalline Materials
Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly Curriculum Multi-Negative Augmentation for Debiased Video Grounding
Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu Curriculum Temperature for Knowledge Distillation
Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research
Sarit Kraus, Yaniv Oshrat, Yonatan Aumann, Tal Hollander, Oleg Maksimov, Anita Ostroumov, Natali Shechtman Cyclically Disentangled Feature Translation for Face Anti-Spoofing
Haixiao Yue, Keyao Wang, Guosheng Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang Dagster: Parallel Structured Search
Mark Alexander Burgess, Charles Gretton, Josh Milthorpe, Luke Croak, Thomas Willingham, Alwen Tiu DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li Darwinian Model Upgrades: Model Evolving with Selective Compatibility
Binjie Zhang, Shupeng Su, Yixiao Ge, Xuyuan Xu, Yexin Wang, Chun Yuan, Mike Zheng Shou, Ying Shan Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang Daycare Matching in Japan: Transfers and Siblings
Zhaohong Sun, Yoshihiro Takenami, Daisuke Moriwaki, Yoji Tomita, Makoto Yokoo DC-Former: Diverse and Compact Transformer for Person Re-Identification
Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu De-Biased Teacher: Rethinking IoU Matching for Semi-Supervised Object Detection
Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou DE-Net: Dynamic Text-Guided Image Editing Adversarial Networks
Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian Decision-Making Context Interaction Network for Click-Through Rate Prediction
Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi You, Guiyun Fan, Xinbing Wang, Chenghu Zhou Deconstructed Generation-Based Zero-Shot Model
Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr Deep Graph Structural Infomax
Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar Deep Manifold Attack on Point Clouds via Parameter Plane Stretching
Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang Deepfake Video Detection via Facial Action Dependencies Estimation
Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen, Yuanfang Guo Defending Against Backdoor Attacks in Natural Language Generation
Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang Delving into the Adversarial Robustness of Federated Learning
Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu Demystify the Gravity Well in the Optimization Landscape (Student Abstract)
Jason Xiaotian Dou, Runxue Bao, Susan Song, Shuran Yang, Yanfu Zhang, Paul Pu Liang, Haiyi Harry Mao Denoising Pre-Training for Machine Translation Quality Estimation with Curriculum Learning
Xiang Geng, Yu Zhang, Jiahuan Li, Shujian Huang, Hao Yang, Shimin Tao, Yimeng Chen, Ning Xie, Jiajun Chen DetAIL: A Tool to Automatically Detect and Analyze Drift in Language
Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur Detecting Sources of Healthcare Associated Infections
Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning
Maya Kapoor, Michael Napolitano, Jonathan Quance, Thomas Moyer, Siddharth Krishnan DFEE: Interactive DataFlow Execution and Evaluation Kit
Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour Dialogue Rewriting via Skeleton-Guided Generation
Chunlei Xin, Hongyu Lin, Shan Wu, Xianpei Han, Bo Chen, Wen Dai, Shuai Chen, Bin Wang, Le Sun Differentially Private Condorcet Voting
Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang Differentially Private Heatmaps
Badih Ghazi, Junfeng He, Kai Kohlhoff, Ravi Kumar, Pasin Manurangsi, Vidhya Navalpakkam, Nachiappan Valliappan Differentially Private Learning with Per-Sample Adaptive Clipping
Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu Disentangled Representation for Causal Mediation Analysis
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract)
Zhuo Deng, Yibing Wei, Mingye Zhu, Xueliang Wang, Junchi Zhou, Zhicheng Yang, Hang Zhou, Zhenjie Cao, Lan Ma, Mei Han, Jui-Hsin Lai DisGUIDE: Disagreement-Guided Data-Free Model Extraction
Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan Do Invariances in Deep Neural Networks Align with Human Perception?
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller DocEdit: Language-Guided Document Editing
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Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz Efficient Image Captioning for Edge Devices
Ning Wang, Jiangrong Xie, Hang Luo, Qinglin Cheng, Jihao Wu, Mingbo Jia, Linlin Li eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms
Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun EINNs: Epidemiologically-Informed Neural Networks
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash EMEF: Ensemble Multi-Exposure Image Fusion
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Simon Schmitt, John Shawe-Taylor, Hado van Hasselt Exploring Artificial Intelligence in English Language Arts with StoryQ
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Mengfan Ma, Mingyu Xiao, Tian Bai, Bakh Khoussainov Factual and Informative Review Generation for Explainable Recommendation
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder Fair Division with Prioritized Agents
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Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung Fair Short Paths in Vertex-Colored Graphs
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Jinxian Liu, Ye Chen, Bingbing Ni, Wei Ren, Zhenbo Yu, Xiaoyang Huang Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
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Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability
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Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui GLCC: A General Framework for Graph-Level Clustering
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Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò Global Mixup: Eliminating Ambiguity with Clustering
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Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin Goal-Conditioned Generators of Deep Policies
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Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer Grape Cold Hardiness Prediction via Multi-Task Learning
Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern Graph Component Contrastive Learning for Concept Relatedness Estimation
Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King Graph Ordering Attention Networks
Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis Graph Structure Learning on User Mobility Data for Social Relationship Inference
Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
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Weisong Zhao, Xiangyu Zhu, Kaiwen Guo, Xiaoyu Zhang, Zhen Lei Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee H-AES: Towards Automated Essay Scoring for Hindi
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Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen Hardness of Learning AES Key (Student Abstract)
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Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park Heterogeneous Graph Masked Autoencoders
Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla Heterogeneous Region Embedding with Prompt Learning
Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han Hey, Siri! Why Are You Biased Against Women? (Student Abstract)
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Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Hui Wei, Zhixiang Wang, Xuemei Jia, Yinqiang Zheng, Hao Tang, Shin'ichi Satoh, Zheng Wang Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu Human-in-the-Loop Vehicle ReID
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Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, Lan Xu HyperJump: Accelerating HyperBand via Risk Modelling
Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan Hypernetworks for Zero-Shot Transfer in Reinforcement Learning
Sahand Rezaei-Shoshtari, Charlotte Morissette, François Robert Hogan, Gregory Dudek, David Meger I-Code: An Integrative and Composable Multimodal Learning Framework
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Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu Identifying and Eliminating Majority Illusion in Social Networks
Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract)
Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh, Mayank Vatsa ImageNet Pre-Training Also Transfers Non-Robustness
Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu Imbalanced Label Distribution Learning
Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen, Ziyue Wang, Jun-Jie Huang, Wentao Zhao, Xiao Liu, Dejian Guan Improvement-Focused Causal Recourse (ICR)
Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup Improving Crowded Object Detection via Copy-Paste
Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou Improving Dynamic HDR Imaging with Fusion Transformer
Rufeng Chen, Bolun Zheng, Hua Zhang, Quan Chen, Chenggang Yan, Gregory G. Slabaugh, Shanxin Yuan Improving Interpretability via Explicit Word Interaction Graph Layer
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi Improving Robust Fariness via Balance Adversarial Training
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu Improving Simultaneous Machine Translation with Monolingual Data
Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao Incentive-Boosted Federated Crowdsourcing
Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care
Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages
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Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier InstanceFormer: An Online Video Instance Segmentation Framework
Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp Integer Subspace Differential Privacy
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu Interactive Concept Bottleneck Models
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Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo Relation-Aware Language-Graph Transformer for Question Answering
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Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo Repair Is Nearly Generation: Multilingual Program Repair with LLMs
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Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu Resource Sharing Through Multi-Round Matchings
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Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun SMT Safety Verification of Ontology-Based Processes
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Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack
Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang Stable Learning via Sparse Variable Independence
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang State-Conditioned Adversarial Subgoal Generation
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Guobiao Li, Sheng Li, Meiling Li, Xinpeng Zhang, Zhenxing Qian Stepdown SLOPE for Controlled Feature Selection
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Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles
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Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu Sudoku Assistant - An AI-Powered App to Help Solve Pen-and-Paper Sudokus
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Kaijie He, Canlong Zhang, Sheng Xie, Zhixin Li, Zhiwen Wang Target-Free Text-Guided Image Manipulation
Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu Task2KB: A Public Task-Oriented Knowledge Base
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Zhengcong Fei, Mingyuan Fan, Li Zhu, Junshi Huang, Xiaoming Wei, Xiaolin Wei Underwater Ranker: Learn Which Is Better and How to Be Better
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