Anirudh Goyal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning. | Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora |
| 2025 | ICLR | Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron. | Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh |
| 2025 | ICLR | SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. | Antonis Antoniades, Albert rwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang |
| 2025 | ICLR | On the Transfer of Object-Centric Representation Learning. | Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael Curtis Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer |
| 2025 | ICML | Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? | Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora |
| 2025 | ICML | Unnatural Languages Are Not Bugs but Features for LLMs. | Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh |
| 2025 | NAACL | A Systematic Examination of Preference Learning through the Lens of Instruction-Following. | Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan |
| 2024 | EMNLP | Reasoning Robustness of LLMs to Adversarial Typographical Errors. | Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh |
| 2024 | ICLR | Cycle Consistency Driven Object Discovery. | Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio |
| 2024 | ICLR | αTC-VAE: On the relationship between Disentanglement and Diversity. | Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels |
| 2024 | ICLR | SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. | Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora |
| 2023 | AISTATS | Representation Learning in Deep RL via Discrete Information Bottleneck. | Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb |
| 2023 | ICLR | Learning to Induce Causal Structure. | Nan Rosemary Ke, Silvia Chiappa, Jane X. Wang, Jrg Bornschein, Anirudh Goyal, Mlanie Rey, Theophane Weber, Matthew M. Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende |
| 2023 | ICLR | Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. | Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio |
| 2023 | ICML | GFlowOut: Dropout with Generative Flow Networks. | 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 |
| 2023 | ICML | Test-time Adaptation with Slot-Centric Models. | Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki |
| 2023 | ICML | Discrete Key-Value Bottleneck. | Frederik Truble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schlkopf |
| 2022 | CVPR | Uniform Priors for Data-Efficient Learning. | Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg |
| 2022 | ICLR | Coordination Among Neural Modules Through a Shared Global Workspace. | Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio |
| 2022 | ICLR | Learning by Directional Gradient Descent. | David Silver, Anirudh Goyal, Ivo Danihelka, Matteo Hessel, Hado van Hasselt |
| 2022 | ICML | Retrieval-Augmented Reinforcement Learning. | Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adri Puigdomnech Badia, Arthur Guez, Mehdi Mirza, Peter Conway Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell |
| 2021 | AAAI | DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. | Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti |
| 2021 | AISTATS | Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. | Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio |
| 2021 | ICLR | CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. | Ossama Ahmed, Frederik Truble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schlkopf, Stefan Bauer |
| 2021 | ICLR | Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments. | Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer |
| 2021 | ICLR | Recurrent Independent Mechanisms. | Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schlkopf |
| 2021 | ICLR | Fast And Slow Learning Of Recurrent Independent Mechanisms. | Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schlkopf, Yoshua Bengio |
| 2021 | ICLR | Spatially Structured Recurrent Modules. | Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schlkopf |
| 2021 | ICML | Robust Representation Learning via Perceptual Similarity Metrics. | Saeid Asgari Taghanaki, Kristy Choi, Amir Hosein Khasahmadi, Anirudh Goyal |
| 2021 | ICML | On Disentangled Representations Learned from Correlated Data. | Frederik Truble, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schlkopf, Stefan Bauer |
| 2020 | ICLR | A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. | Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sbastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal |
| 2020 | ICLR | The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. | Anirudh Goyal, Yoshua Bengio, Matthew M. Botvinick, Sergey Levine |
| 2020 | ICLR | Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. | Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio |
| 2020 | ICLR | Learning the Arrow of Time for Problems in Reinforcement Learning. | Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio |
| 2020 | ICML | Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. | Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio |
| 2020 | ICML | Small-GAN: Speeding up GAN Training using Core-Sets. | Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena |
| 2019 | ICLR | Recall Traces: Backtracking Models for Efficient Reinforcement Learning. | Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio |
| 2019 | ICLR | InfoBot: Transfer and Exploration via the Information Bottleneck. | Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew M. Botvinick, Yoshua Bengio, Sergey Levine |
| 2019 | ICLR | Modeling the Long Term Future in Model-Based Reinforcement Learning. | Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra |
| 2019 | ICML | State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. | Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer |
| 2018 | ICLR | Extending the Framework of Equilibrium Propagation to General Dynamics. | Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio |
| 2017 | ICLR | An Actor-Critic Algorithm for Sequence Prediction. | Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICLR | Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. | David Krueger, Tegan Maharaj, Jnos Kramr, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal |