Veit, Andreas

19 publications

ICMLW 2024 Efficient Document Ranking with Learnable Late Interactions Himanshu Jain, Ziwei Ji, Ankit Singh Rawat, Andreas Veit, Sadeep Jayasumana, Sashank J. Reddi, Aditya Krishna Menon, Felix Yu

CVPR 2024 MarkovGen: Structured Prediction for Efficient Text-to-Image Generation Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar

CVPR 2024 Rethinking FID: Towards a Better Evaluation Metric for Image Generation Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar

ICLR 2023 Teacher Guided Training: An Efficient Framework for Knowledge Transfer Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar

NeurIPSW 2022 When Does Mixup Promote Local Linearity in Learned Representations? Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar

AISTATS 2021 RankDistil: Knowledge Distillation for Ranking Sashank Reddi, Rama Kumar Pasumarthi, Aditya Menon, Ankit Singh Rawat, Felix Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar

NeurIPSW 2021 An Empirical Study of Pre-Trained Vision Models on Out-of-Distribution Generalization Yaodong Yu, Heinrich Jiang, Dara Bahri, Hossein Mobahi, Seungyeon Kim, Ankit Singh Rawat, Andreas Veit, Yi Ma

ICLR 2021 Coping with Label Shift via Distributionally Robust Optimisation Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra

ICLR 2021 Long-Tail Learning via Logit Adjustment Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar

ICCV 2021 Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit

AISTATS 2020 How to Backdoor Federated Learning Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov

NeurIPS 2020 Why Are Adaptive Methods Good for Attention Models? Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank Reddi, Sanjiv Kumar, Suvrit Sra

ECCV 2018 Convolutional Networks with Adaptive Inference Graphs Andreas Veit, Serge Belongie

CVPR 2017 Conditional Similarity Networks Andreas Veit, Serge Belongie, Theofanis Karaletsos

CVPR 2017 Learning from Noisy Large-Scale Datasets with Minimal Supervision Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie

NeurIPS 2016 Residual Networks Behave like Ensembles of Relatively Shallow Networks Andreas Veit, Michael J Wilber, Serge Belongie

ICCV 2015 Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, Serge Belongie

JAIR 2014 Demand Side Energy Management via Multiagent Coordination in Consumer Cooperatives Andreas Veit, Ying Xu, Ronghuo Zheng, Nilanjan Chakraborty, Katia P. Sycara

AAAI 2013 Multiagent Coordination for Energy Consumption Scheduling in Consumer Cooperatives Andreas Veit, Ying Xu, Ronghuo Zheng, Nilanjan Chakraborty, Katia P. Sycara