| Parabel: Partitioned label trees for extreme classification with application to dynamic search advertising Y Prabhu, A Kag, S Harsola, R Agrawal, M Varma Proceedings of the 2018 World Wide Web Conference, 993-1002, 2018 | 284 | 2018 |
| Extreme multi-label learning with label features for warm-start tagging, ranking & recommendation Y Prabhu, A Kag, S Gopinath, K Dahiya, S Harsola, R Agrawal, M Varma Proceedings of the eleventh ACM international conference on web search and …, 2018 | 89 | 2018 |
| Rnns incrementally evolving on an equilibrium manifold: A panacea for vanishing and exploding gradients? A Kag, Z Zhang, V Saligrama International Conference on Learning Representations, 2020 | 74* | 2020 |
| Selective classification via one-sided prediction A Gangrade, A Kag, V Saligrama International Conference on Artificial Intelligence and Statistics, 2179-2187, 2021 | 50 | 2021 |
| Training recurrent neural networks via forward propagation through time A Kag, V Saligrama International Conference on Machine Learning, 5189-5200, 2021 | 41 | 2021 |
| Time adaptive recurrent neural network A Kag, V Saligrama Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
| Snap video: Scaled spatiotemporal transformers for text-to-video synthesis W Menapace, A Siarohin, I Skorokhodov, E Deyneka, TS Chen, A Kag, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 13 | 2024 |
| {BLAS-on-flash}: An Efficient Alternative for Large Scale {ML} Training and Inference? SJ Subramanya, HV Simhadri, S Garg, A Kag, V Balasubramanian 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2019 | 12 | 2019 |
| Efficient edge inference by selective query A Kag, I Fedorov International Conference on Learning Representations, 2023 | 11 | 2023 |
| Textcraftor: Your text encoder can be image quality controller Y Li, X Liu, A Kag, J Hu, Y Idelbayev, D Sagar, Y Wang, S Tulyakov, J Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Condensing cnns with partial differential equations A Kag, V Saligrama Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| Online selective classification with limited feedback A Gangrade, A Kag, A Cutkosky, V Saligrama Advances in Neural Information Processing Systems 34, 14529-14541, 2021 | 5 | 2021 |
| Scaffolding a student to instill knowledge A Kag, DAE Acar The Eleventh International Conference on Learning Representations, 2023 | 4 | 2023 |
| BitsFusion: 1.99 bits Weight Quantization of Diffusion Model Y Sui, Y Li, A Kag, Y Idelbayev, J Cao, J Hu, D Sagar, B Yuan, S Tulyakov, ... arXiv preprint arXiv:2406.04333, 2024 | 1 | 2024 |
| Lightweight Predictive 3D Gaussian Splats J Cao, V Goel, C Wang, A Kag, J Hu, S Korolev, C Jiang, S Tulyakov, ... arXiv preprint arXiv:2406.19434, 2024 | | 2024 |
| SF-V: Single Forward Video Generation Model Z Zhang, Y Li, Y Wu, Y Xu, A Kag, I Skorokhodov, W Menapace, ... arXiv preprint arXiv:2406.04324, 2024 | | 2024 |
| Scaffolding a student to instill knowledge V Saligrama, A Kag, DAE Acar, A Gangrade | | 2023 |
| Novel neural architectures & algorithms for efficient inference A Kag Boston University, 2023 | | 2023 |
| Condensing CNNs with partial differential equations V Saligrama, A Kag | | 2022 |
| Hybrid Cloud-Edge Networks for Efficient Inference A Kag, I Fedorov, A Gangrade, P Whatmough, V Saligrama | | |
Venkatesh SaligramaAI Professor and Amazon Scholar在 bu.edu 的电子邮件经过验证
