• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 138 matches

• 2024
• 
  Ayush Agrawal, Raghav Prabhakar, Anirudh Goyal, Dianbo Liu:
  Physical Reasoning and Object Planning for Household Embodied Agents. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh:
  Reasoning Robustness of LLMs to Adversarial Typographical Errors. EMNLP 2024: 10449-10459
• 
  Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio:
  Cycle Consistency Driven Object Discovery. ICLR 2024
• 
  Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels:
  αTC-VAE: On the relationship between Disentanglement and Diversity. ICLR 2024
• 
  Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora:
  SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. ICLR 2024
• 
  Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J. Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi:
  Can AI Be as Creative as Humans? CoRR abs/2401.01623 (2024)
• 
  Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora:
  Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates. CoRR abs/2402.18540 (2024)
• 
  Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh:
  Accelerating Greedy Coordinate Gradient via Probe Sampling. CoRR abs/2403.01251 (2024)
• 
  Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh:
  Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR abs/2405.00451 (2024)
• 
  Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora:
  Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. CoRR abs/2405.12205 (2024)
• 
  Siyuan Guo, Aniket Didolkar, Nan Rosemary Ke, Anirudh Goyal, Ferenc Huszár, Bernhard Schölkopf:
  Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs. CoRR abs/2405.15485 (2024)
• 
  Cristian Meo, Ksenia Sycheva, Anirudh Goyal, Justin Dauwels:
  Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates. CoRR abs/2406.13046 (2024)
• 
  Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Nan Rosemary Ke, Michael Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal:
  AI-Assisted Generation of Difficult Math Questions. CoRR abs/2407.21009 (2024)
• 
  Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
  The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024)
• 
  Aniket Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael C. Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer:
  Zero-Shot Object-Centric Representation Learning. CoRR abs/2408.09162 (2024)
• 
  Gus Kristiansen, Mark Sandler, Andrey Zhmoginov, Nolan Miller, Anirudh Goyal, Jihwan Lee, Max Vladymyrov:
  Narrowing the Focus: Learned Optimizers for Pretrained Models. CoRR abs/2408.09310 (2024)
• 
  Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora:
  Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning. CoRR abs/2408.14774 (2024)
• 
  Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora:
  Can Models Learn Skill Composition from Examples? CoRR abs/2409.19808 (2024)
• 
  Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels:
  Masked Generative Priors Improve World Models Sequence Modelling Capabilities. CoRR abs/2410.07836 (2024)
• 
  Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang:
  COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. CoRR abs/2410.09675 (2024)
• 
  Cristian Meo, Akihiro Nakano, Mircea Lica, Aniket Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio:
  Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. CoRR abs/2410.15728 (2024)
• 
  Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang:
  SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. CoRR abs/2410.20285 (2024)
• 
  Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels:
  α-TCVAE: On the relationship between Disentanglement and Diversity. CoRR abs/2411.00588 (2024)
• 
  Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh:
  Reasoning Robustness of LLMs to Adversarial Typographical Errors. CoRR abs/2411.05345 (2024)
• 2023
• 
  Kapil Rana, Aman Pandey, Parth Goyal, Gurinder Singh, Puneet Goyal:
  A novel privacy protection approach with better human imperceptibility. Appl. Intell. 53(19): 21788-21798 (2023)
• 
  Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio:
  Neural Causal Structure Discovery from Interventions. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb:
  Representation Learning in Deep RL via Discrete Information Bottleneck. AISTATS 2023: 8699-8722
• 
  Nan Rosemary Ke, Silvia Chiappa, Jane X. Wang, Jörg Bornschein, Anirudh Goyal, Mélanie Rey, Theophane Weber, Matthew M. Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende:
  Learning to Induce Causal Structure. ICLR 2023
• 
  Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio:
  Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. ICLR 2023
• 
  Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio:
  GFlowOut: Dropout with Generative Flow Networks. ICML 2023: 21715-21729

skipping 108 more matches