← Authors

Rob Fergus

55 papers · 2007–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (30) 🌟 Keyword Trendsetter Combo (13) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (74) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (55) ⚑ Prolific Year (8)

Conferences

ICML (16) NIPS (16) ICLR (11) CVPR (4) ICCV (4) AAAI (1) AISTATS (1) EMNLP (1) IJCNLP (1)

Top co-authors

arthur szlam (8) Lerrel Pinto (6) Ilya Kostrikov (5) Denis Yarats (5) Manzil Zaheer (5) Lubomir Bourdev (4) Ulyana Piterbarg (4) Kenneth Marino (4) Sainbayar Sukhbaatar (4) Roberta Raileanu (4)

Keywords

convolutional neural network (8) reinforcement learning (6) neural network (5) representation learning (5) convolutional network (4) value function (3) image classification (3) policy learning (3) scene understanding (3) question answering (3) spectral method (2) continuous control (2) self-supervised learning (2) person re-identification (2) sample efficiency (2) imitation learning (2) graph laplacian (2) image restoration (2) image retrieval (2) machine reading comprehension (2)

Papers

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ICLR 2025
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis ICLR 2025
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction ICLR 2025
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders ICLR 2024
diff History for Neural Language Agents ICML 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs NIPS 2024
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks ICML 2024
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval ICML 2024
NetHack is Hard to Hack NIPS 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC ICML 2023
Learning About Progress From Experts ICLR 2023
Teacher Guided Training: An Efficient Framework for Knowledge Transfer ICLR 2023
Distilling Internet-Scale Vision-Language Models into Embodied Agents ICML 2023
Learning to Navigate Wikipedia by Taking Random Walks NIPS 2022
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning ICLR 2022
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels ICLR 2021
Reinforcement Learning with Prototypical Representations ICML 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021
Imitation by Predicting Observations ICML 2021
Automatic Data Augmentation for Generalization in Reinforcement Learning NIPS 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021
Fast Adaptation to New Environments via Policy-Dynamics Value Functions ICML 2020
Energy-based models for atomic-resolution protein conformations ICLR 2020
Finding Generalizable Evidence by Learning to Convince Q&A Models EMNLP 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models IJCNLP 2019
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies ICLR 2019
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play ICLR 2018
Learning by Asking Questions CVPR 2018
Stochastic Video Generation with a Learned Prior ICML 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018
Composable Planning with Attributes ICML 2018
Learning Multiagent Communication with Backpropagation NIPS 2016
Learning Physical Intuition of Block Towers by Example ICML 2016
Learning Simple Algorithms from Examples ICML 2016
Web Scale Photo Hash Clustering on A Single Machine CVPR 2015
Improving Image Classification With Location Context ICCV 2015
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues CVPR 2015
End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression CVPR 2015
Deep Generative Image Models using a οΏΌLaplacian Pyramid of Adversarial Networks NIPS 2015
End-To-End Memory Networks NIPS 2015
Learning Spatiotemporal Features With 3D Convolutional Networks ICCV 2015
Predicting Depth, Surface Normals and Semantic Labels With a Common Multi-Scale Convolutional Architecture ICCV 2015
Learning to Discover Efficient Mathematical Identities NIPS 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network NIPS 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NIPS 2014
Regularization of Neural Networks using DropConnect ICML 2013
Restoring an Image Taken through a Window Covered with Dirt or Rain ICCV 2013
A Hybrid Neural Network-Latent Topic Model AISTATS 2012
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Pose-Sensitive Embedding by Nonlinear NCA Regression NIPS 2010
Semi-Supervised Learning in Gigantic Image Collections NIPS 2009
Fast Image Deconvolution using Hyper-Laplacian Priors NIPS 2009
Spectral Hashing NIPS 2008
Object Recognition by Scene Alignment NIPS 2007