Abhishek Panigrahi

35 papers A* 11B 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models. CoRR Yinghui He, Abhishek Panigrahi, Yong Lin, Sanjeev Arora
2025	A*	`conf`	Efficient stagewise pretraining via progressive subnetworks. ICLR Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu, Sobhan Miryoosefi, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
2025	A*	`conf`	Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? ICML Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2025	J	`jnl`	Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? CoRR Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora
2025	J	`jnl`	In Good GRACEs: Principled Teacher Selection for Knowledge Distillation. CoRR Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Sham M. Kakade, Surbhi Goel
2025	A*	`conf`	On the Power of Context-Enhanced Learning in LLMs. ICML Xingyu Zhu, Abhishek Panigrahi, Sanjeev Arora
2025	J	`jnl`	On the Power of Context-Enhanced Learning in LLMs. CoRR Xingyu Zhu, Abhishek Panigrahi, Sanjeev Arora
2025	A*	`conf`	Progressive distillation induces an implicit curriculum. ICLR Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel
2025	—	`conf`	Representing Rule-based Chatbots with Transformers. NAACL (Long Papers) Dan Friedman, Abhishek Panigrahi, Danqi Chen
2025	J	`jnl`	Skill-Targeted Adaptive Training. CoRR Yinghui He, Abhishek Panigrahi, Yong Lin, Sanjeev Arora
2024	J	`jnl`	Efficient Stagewise Pretraining via Progressive Subnetworks. CoRR Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu, Sobhan Miryoosefi, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
2024	J	`jnl`	Progressive distillation induces an implicit curriculum. CoRR Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel
2024	J	`jnl`	Representing Rule-based Chatbots with Transformers. CoRR Dan Friedman, Abhishek Panigrahi, Danqi Chen
2024	A*	`conf`	Trainable Transformer in Transformer. ICML Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora
2023	A*	`conf`	Do Transformers Parse while Predicting the Masked Word? EMNLP Haoyu Zhao, Abhishek Panigrahi, Rong Ge, Sanjeev Arora
2023	J	`jnl`	Do Transformers Parse while Predicting the Masked Word? CoRR Haoyu Zhao, Abhishek Panigrahi, Rong Ge, Sanjeev Arora
2023	A*	`conf`	Task-Specific Skill Localization in Fine-tuned Language Models. ICML Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora
2023	J	`jnl`	Task-Specific Skill Localization in Fine-tuned Language Models. CoRR Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora
2023	J	`jnl`	Trainable Transformer in Transformer. CoRR Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora
2022	A*	`conf`	On the SDEs and Scaling Rules for Adaptive Gradient Algorithms. NeurIPS Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora
2022	J	`jnl`	On the SDEs and Scaling Rules for Adaptive Gradient Algorithms. CoRR Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora
2022	J	`jnl`	Understanding Gradient Descent on Edge of Stability in Deep Learning. CoRR Sanjeev Arora, Zhiyuan Li, Abhishek Panigrahi
2022	A*	`conf`	Understanding Gradient Descent on the Edge of Stability in Deep Learning. ICML Sanjeev Arora, Zhiyuan Li, Abhishek Panigrahi
2021	A*	`conf`	Learning and Generalization in RNNs. NeurIPS Abhishek Panigrahi, Navin Goyal
2021	J	`jnl`	Learning and Generalization in RNNs. CoRR Abhishek Panigrahi, Navin Goyal
2020	A*	`conf`	Effect of Activation Functions on the Training of Overparametrized Neural Nets. ICLR Abhishek Panigrahi, Abhishek Shetty, Navin Goyal
2019	—	`ch.`	Analyzing Social Book Reading Behavior on Goodreads and How It Predicts Amazon Best Sellers. Influence and Behavior Analysis in Social Networks and Social Media Suman Kalyan Maity, Abhishek Panigrahi, Animesh Mukherjee
2019	—	`conf`	DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack Overflow. ECIR (2) Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee
2019	J	`jnl`	DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow. CoRR Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee
2019	J	`jnl`	Effect of Activation Functions on the Training of Overparametrized Neural Nets. CoRR Abhishek Panigrahi, Abhishek Shetty, Navin Goyal
2019	J	`jnl`	Non-Gaussianity of Stochastic Gradient Noise. CoRR Abhishek Panigrahi, Raghav Somani, Navin Goyal, Praneeth Netrapalli
2019	—	`conf`	Word2Sense: Sparse Interpretable Word Embeddings. ACL (1) Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya
2018	J	`jnl`	Analysis on Gradient Propagation in Batch Normalized Residual Networks. CoRR Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo
2018	J	`jnl`	Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers. CoRR Suman Kalyan Maity, Abhishek Panigrahi, Animesh Mukherjee
2017	B	`conf`	Book Reading Behavior on Goodreads Can Predict the Amazon Best Sellers. ASONAM Suman Kalyan Maity, Abhishek Panigrahi, Animesh Mukherjee