Chawla, Sanjay

20 publications

WACV 2025 CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla

TMLR 2025 ExCeL: Combined Extreme and Collective Logit Information for Out-of-Distribution Detection Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla

ICML 2025 Explaining the Role of Intrinsic Dimensionality in Adversarial Training Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla

ICLR 2024 S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla

NeurIPSW 2023 $S^2Ac$: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla

MLJ 2023 A3T: Accuracy Aware Adversarial Training Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla

ICCV 2021 Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden

AAAI 2020 RoadTagger: Robust Road Attribute Inference with Graph Neural Networks Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi

ECCV 2020 Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi

ECML-PKDD 2018 Group Anomaly Detection Using Deep Generative Models Raghavendra Chalapathy, Edward Toth, Sanjay Chawla

MLJ 2018 Optimizing Non-Decomposable Measures with Deep Networks Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani

AAAI 2018 SAGA: A Submodular Greedy Algorithm for Group Recommendation Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla

ECML-PKDD 2017 Robust, Deep and Inductive Anomaly Detection Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

ECML-PKDD 2016 Incremental Commute Time Using Random Walks and Online Anomaly Detection Nguyen Lu Dang Khoa, Sanjay Chawla

AISTATS 2016 Simple and Scalable Constrained Clustering: A Generalized Spectral Method Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng

NeurIPS 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation Jaya Kawale, Hung H Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla

NeurIPS 2014 On Integrated Clustering and Outlier Detection Lionel Ott, Linsey Pang, Fabio T Ramos, Sanjay Chawla

ECML-PKDD 2013 Mining Outlier Participants: Insights Using Directional Distributions in Latent Models Didi Surian, Sanjay Chawla

ICML 2013 On the Statistical Consistency of Algorithms for Binary Classification Under Class Imbalance Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla

MLJ 2010 Mining Adversarial Patterns via Regularized Loss Minimization Wei Liu, Sanjay Chawla