Anil Kag

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Recurrent Neural Networks

Classification Accuracy

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
Junli Cao, Vidit Goel, Chaoyang Wang, Anil Kag, Ju Hu, Sergei Korolev, Chenfanfu Jiang, Sergey Tulyakov, Jian Ren
Lightweight Predictive 3D Gaussian Splats. CoRR (2024)
Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
Scaffolding a Student to Instill Knowledge. ICLR (2023)
Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama
Efficient Edge Inference by Selective Query. ICLR (2023)
Anil Kag, Venkatesh Saligrama
Condensing CNNs with Partial Differential Equations. CVPR (2022)
Anil Kag, Venkatesh Saligrama
Time Adaptive Recurrent Neural Network. CVPR (2021)
Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
Online Selective Classification with Limited Feedback. CoRR (2021)
Anil Kag, Venkatesh Saligrama
Training Recurrent Neural Networks via Forward Propagation Through Time. ICML (2021)
Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
Online Selective Classification with Limited Feedback. NeurIPS (2021)
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
Selective Classification via One-Sided Prediction. AISTATS (2021)
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
Selective Classification via One-Sided Prediction. CoRR (2020)
Anil Kag, Ziming Zhang, Venkatesh Saligrama
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR (2020)
Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR (2019)
Anil Kag, Ziming Zhang, Venkatesh Saligrama
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR (2019)
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)
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)
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)