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2020 – today
- 2024
[c16]Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, Sergey Tulyakov:
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis. CVPR 2024: 7038-7048- [c15]Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
TextCraftor: Your Text Encoder can be Image Quality Controller. CVPR 2024: 7985-7995 - [c14]Anil Kag, Huseyin Coskun, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren:
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation. NeurIPS 2024 - [c13]Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren:
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model. NeurIPS 2024 - [c12]Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren:
SF-V: Single Forward Video Generation Model. NeurIPS 2024 - [i13]Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, Sergey Tulyakov:
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis. CoRR abs/2402.14797 (2024) - [i12]Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
TextCraftor: Your Text Encoder Can be Image Quality Controller. CoRR abs/2403.18978 (2024) - [i11]Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren:
SF-V: Single Forward Video Generation Model. CoRR abs/2406.04324 (2024) - [i10]Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren:
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model. CoRR abs/2406.04333 (2024) - [i9]Junli Cao, Vidit Goel, Chaoyang Wang, Anil Kag, Ju Hu, Sergei Korolev, Chenfanfu Jiang, Sergey Tulyakov, Jian Ren:
Lightweight Predictive 3D Gaussian Splats. CoRR abs/2406.19434 (2024) - [i8]Shyamgopal Karthik, Huseyin Coskun, Zeynep Akata, Sergey Tulyakov, Jian Ren, Anil Kag:
Scalable Ranked Preference Optimization for Text-to-Image Generation. CoRR abs/2410.18013 (2024) - [i7]Anil Kag, Huseyin Coskun, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren:
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation. CoRR abs/2411.04967 (2024) - [i6]Dongting Hu, Jierun Chen, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren:
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CoRR abs/2412.09619 (2024) - [i5]Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device. CoRR abs/2412.10494 (2024) - 2023
- [c11]Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama:
Scaffolding a Student to Instill Knowledge. ICLR 2023 - [c10]Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama:
Efficient Edge Inference by Selective Query. ICLR 2023 - 2022
- [c9]Anil Kag, Venkatesh Saligrama
:
Condensing CNNs with Partial Differential Equations. CVPR 2022: 600-609 - 2021
- [c8]Aditya Gangrade, Anil Kag, Venkatesh Saligrama:
Selective Classification via One-Sided Prediction. AISTATS 2021: 2179-2187 - [c7]Anil Kag, Venkatesh Saligrama:
Time Adaptive Recurrent Neural Network. CVPR 2021: 15149-15158 - [c6]Anil Kag, Venkatesh Saligrama:
Training Recurrent Neural Networks via Forward Propagation Through Time. ICML 2021: 5189-5200 - [c5]Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama:
Online Selective Classification with Limited Feedback. NeurIPS 2021: 14529-14541 - [i4]Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama:
Online Selective Classification with Limited Feedback. CoRR abs/2110.14243 (2021) - 2020
- [c4]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020 - [i3]Aditya Gangrade, Anil Kag, Venkatesh Saligrama:
Selective Classification via One-Sided Prediction. CoRR abs/2010.07853 (2020)
2010 – 2019
- 2019
- [c3]Suhas Jayaram Subramanya, Harsha Vardhan Simhadri, Srajan Garg, Anil Kag, Venkatesh Balasubramanian:
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference? NSDI 2019: 469-484 - [i2]Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama:
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR abs/1903.00755 (2019) - [i1]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR abs/1908.08574 (2019) - 2018
- [c2]Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma:
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation. WSDM 2018: 441-449 - [c1]Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma:
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising. WWW 2018: 993-1002
Coauthor Index
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