Andreas Veit - RankMe

55 papers A* 14A 4Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Efficient Document Ranking with Learnable Late Interactions. CoRR Ziwei Ji, Himanshu Jain, Andreas Veit, Sashank J. Reddi, Sadeep Jayasumana, Ankit Singh Rawat, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
2024	J	`jnl`	LatentCRF: Continuous CRF for Efficient Latent Diffusion. CoRR Kanchana Ranasinghe, Sadeep Jayasumana, Andreas Veit, Ayan Chakrabarti, Daniel Glasner, Michael S. Ryoo, Srikumar Ramalingam, Sanjiv Kumar
2024	A*	`conf`	MarkovGen: Structured Prediction for Efficient Text-to-Image Generation. CVPR Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar
2024	A*	`conf`	Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CVPR Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar
2024	J	`jnl`	Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CoRR Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar
2023	—	`conf`	Large Language Models with Controllable Working Memory. ACL (Findings) Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2023	J	`jnl`	SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models. CoRR Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar
2023	A*	`conf`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2022	J	`jnl`	Large Language Models with Controllable Working Memory. CoRR Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2022	J	`jnl`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2022	J	`jnl`	When does mixup promote local linearity in learned representations? CoRR Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar
2021	A*	`conf`	Coping with Label Shift via Distributionally Robust Optimisation. ICLR Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra
2021	J	`jnl`	Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. CoRR Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit
2021	J	`jnl`	Leveraging redundancy in attention with Reuse Transformers. CoRR Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar
2021	A*	`conf`	Long-tail learning via logit adjustment. ICLR Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
2021	J	`jnl`	On the Reproducibility of Neural Network Predictions. CoRR Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar
2021	A	`conf`	RankDistil: Knowledge Distillation for Ranking. AISTATS Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar
2021	A*	`conf`	Understanding Robustness of Transformers for Image Classification. ICCV Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
2021	J	`jnl`	Understanding Robustness of Transformers for Image Classification. CoRR Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
2020	J	`jnl`	Convolutional Networks with Adaptive Inference Graphs. Int. J. Comput. Vis. Andreas Veit, Serge J. Belongie
2020	J	`jnl`	Coping with Label Shift via Distributionally Robust Optimisation. CoRR Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra
2020	J	`jnl`	Doubly-stochastic mining for heterogeneous retrieval. CoRR Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2020	A	`conf`	How To Backdoor Federated Learning. AISTATS Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov
2020	J	`jnl`	Improving Calibration in Deep Metric Learning With Cross-Example Softmax. CoRR Andreas Veit, Kimberly Wilber
2020	J	`jnl`	Long-tail learning via logit adjustment. CoRR Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
2020	A*	`conf`	Why are Adaptive Methods Good for Attention Models? NeurIPS Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra
2019	J	`jnl`	Why ADAM Beats SGD for Attention Models. CoRR Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra
2018	—	`conf`	Convolutional Networks with Adaptive Inference Graphs. ECCV (1) Andreas Veit, Serge J. Belongie
2018	J	`jnl`	How To Backdoor Federated Learning. CoRR Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov
2018	A*	`conf`	Learning to Evaluate Image Captioning. CVPR Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie
2018	J	`jnl`	Learning to Evaluate Image Captioning. CoRR Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie
2018	J	`jnl`	Semantic Segmentation with Scarce Data. CoRR Isay Katsman, Rohun Tripathi, Andreas Veit, Serge J. Belongie
2018	A*	`conf`	Separating Self-Expression and Visual Content in Hashtag Supervision. CVPR Andreas Veit, Maximilian Nickel, Serge J. Belongie, Laurens van der Maaten
2017	A*	`conf`	Conditional Similarity Networks. CVPR Andreas Veit, Serge J. Belongie, Theofanis Karaletsos
2017	J	`jnl`	Convolutional Networks with Adaptive Computation Graphs. CoRR Andreas Veit, Serge J. Belongie
2017	A*	`conf`	Crowd Research: Open and Scalable University Laboratories. UIST Rajan Vaish, Snehalkumar (Neil) S. Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael J. Wilber, Serge J. Belongie, Sharad Goel, James Davis, Michael S. Bernstein
2017	J	`jnl`	Deep Learning is Robust to Massive Label Noise. CoRR David Rolnick, Andreas Veit, Serge J. Belongie, Nir Shavit
2017	A	`conf`	ICDAR2017 Robust Reading Challenge on COCO-Text. ICDAR Raul Gomez, Baoguang Shi, Lluis Gomez-Bigorda, Lukás Neumann, Andreas Veit, Jiri Matas, Serge J. Belongie, Dimosthenis Karatzas
2017	J	`jnl`	Learning From Noisy Large-Scale Datasets With Minimal Supervision. CoRR Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie
2017	A*	`conf`	Learning from Noisy Large-Scale Datasets with Minimal Supervision. CVPR Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie
2017	J	`jnl`	Separating Self-Expression and Visual Content in Hashtag Supervision. CoRR Andreas Veit, Maximilian Nickel, Serge J. Belongie, Laurens van der Maaten
2016	J	`jnl`	COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images. CoRR Andreas Veit, Tomas Matera, Lukás Neumann, Jiri Matas, Serge J. Belongie
2016	J	`jnl`	Disentangling Nonlinear Perceptual Embeddings With Multi-Query Triplet Networks. CoRR Andreas Veit, Serge J. Belongie, Theofanis Karaletsos
2016	A	`conf`	Learning to Detect and Match Keypoints with Deep Architectures. BMVC Hani Altwaijry, Andreas Veit, Serge J. Belongie
2016	—	`conf`	Residual Networks Behave Like Ensembles of Relatively Shallow Networks. NIPS Andreas Veit, Michael J. Wilber, Serge J. Belongie
2016	J	`jnl`	Residual Networks are Exponential Ensembles of Relatively Shallow Networks. CoRR Andreas Veit, Michael J. Wilber, Serge J. Belongie
2015	A*	`conf`	Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences. ICCV Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie
2015	J	`jnl`	Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences. CoRR Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie
2015	—	`conf`	MDSM: Generalized multiagent coordination for demand side management. SmartGridComm Andreas Veit
2015	—	`conf`	Multi-agent device-level modeling framework for demand scheduling. SmartGridComm Andreas Veit, Hans-Arno Jacobsen
2015	J	`jnl`	On Optimizing Human-Machine Task Assignments. CoRR Andreas Veit, Michael J. Wilber, Rajan Vaish, Serge J. Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall, Utkarsh Dwivedi, Sanket Gupte, Sharath N. Sridhar, Karthik Paga, Anuj Pahuja, Aditya Raisinghani, Ayush Sharma, Shweta Sharma, Darpana Sinha, Nisarg Thakkar, K. Bala Vignesh, Utkarsh Verma, Kanniganti Abhishek, Amod Agrawal, Arya Aishwarya, Aurgho Bhattacharjee, Sarveshwaran Dhanasekar, Venkata Karthik Gullapalli, Shuchita Gupta, Chandana G, Kinjal Jain, Simran Kapur, Meghana Kasula, Shashi Kumar, Parth Kundaliya, Utkarsh Mathur, Alankrit Mishra, Aayush Mudgal, Aditya Nadimpalli, Munakala Sree Nihit, Akanksha Periwal, Ayush Sagar, Ayush Shah, Vikas Sharma, Yashovardhan Sharma, Faizal Siddiqui, Virender Singh, Abhinav S., Pradyumna Tambwekar, Rashida Taskin, Ankit Tripathi, Anurag D. Yadav
2014	J	`jnl`	Demand Side Energy Management via Multiagent Coordination in Consumer Cooperatives. J. Artif. Intell. Res. Andreas Veit, Ying Xu, Ronghuo Zheng, Nilanjan Chakraborty, Katia P. Sycara
2014	J	`jnl`	Household Electricity Demand Forecasting - Benchmarking State-of-the-Art Methods. CoRR Andreas Veit, Christoph Goebel, Rohit Tidke, Christoph Doblander, Hans-Arno Jacobsen
2014	—	`conf`	Household electricity demand forecasting: benchmarking state-of-the-art methods. e-Energy Andreas Veit, Christoph Goebel, Rohit Tidke, Christoph Doblander, Hans-Arno Jacobsen
2013	A*	`conf`	Multiagent Coordination for Energy Consumption Scheduling in Consumer Cooperatives. AAAI Andreas Veit, Ying Xu, Ronghuo Zheng, Nilanjan Chakraborty, Katia P. Sycara