More from the Same Authors

• 2021 : BLAST: Latent Dynamics Models from Bootstrapping »
  Keiran Paster · Lev McKinney · Sheila McIlraith · Jimmy Ba
• 2022 : Large Language Models Are Human-Level Prompt Engineers »
  Yongchao Zhou · Andrei Muresanu · Ziwen Han · Silviu Pitis · Harris Chan · Keiran Paster · Jimmy Ba
• 2022 : Return Augmentation gives Supervised RL Temporal Compositionality »
  Keiran Paster · Silviu Pitis · Sheila McIlraith · Jimmy Ba
• 2022 : Temporary Goals for Exploration »
  Haoyang Xu · Jimmy Ba · Silviu Pitis · Harris Chan
• 2022 : Return Augmentation gives Supervised RL Temporal Compositionality »
  Keiran Paster · Silviu Pitis · Sheila McIlraith · Jimmy Ba
• 2022 : Guiding Exploration Towards Impactful Actions »
  Vaibhav Saxena · Jimmy Ba · Danijar Hafner
• 2022 : Steering Large Language Models using APE »
  Yongchao Zhou · Andrei Muresanu · Ziwen Han · Keiran Paster · Silviu Pitis · Harris Chan · Jimmy Ba
• 2022 : Rational Multi-Objective Agents Must Admit Non-Markov Reward Representations »
  Silviu Pitis · Duncan Bailey · Jimmy Ba
• 2023 Poster: Laying the Foundation for an Instruction-Following Generalist Agent in Minecraft »
  Shalev Lifshitz · Keiran Paster · Harris Chan · Jimmy Ba · Sheila McIlraith
• 2023 Poster: Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective »
  Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu
• 2023 Poster: AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback »
  Yann Dubois · Xuechen Li · Rohan Taori · Tianyi Zhang · Ishaan Gulrajani · Jimmy Ba · Carlos Guestrin · Percy Liang · Tatsunori Hashimoto
• 2022 Poster: High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation »
  Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
• 2022 Poster: You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments »
  Keiran Paster · Sheila McIlraith · Jimmy Ba
• 2022 Poster: Dataset Distillation using Neural Feature Regression »
  Yongchao Zhou · Ehsan Nezhadarya · Jimmy Ba
• 2021 Poster: Clockwork Variational Autoencoders »
  Vaibhav Saxena · Jimmy Ba · Danijar Hafner
• 2021 Poster: Learning Domain Invariant Representations in Goal-conditioned Block MDPs »
  Beining Han · Chongyi Zheng · Harris Chan · Keiran Paster · Michael Zhang · Jimmy Ba
• 2021 Poster: How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? »
  Jingling Li · Mozhi Zhang · Keyulu Xu · John Dickerson · Jimmy Ba
• 2020 : Contributed Talk #2: Evaluating Agents Without Rewards »
  Brendon Matusch · Danijar Hafner · Jimmy Ba
• 2020 : Contributed Talk: Planning from Pixels using Inverse Dynamics Models »
  Keiran Paster · Sheila McIlraith · Jimmy Ba
• 2020 Session: Orals & Spotlights Track 34: Deep Learning »
  Tuo Zhao · Jimmy Ba
• 2019 : Poster Session »
  Eduard Gorbunov · Alexandre d'Aspremont · Lingxiao Wang · Liwei Wang · Boris Ginsburg · Alessio Quaglino · Camille Castera · Saurabh Adya · Diego Granziol · Rudrajit Das · Raghu Bollapragada · Fabian Pedregosa · Martin Takac · Majid Jahani · Sai Praneeth Karimireddy · Hilal Asi · Balint Daroczy · Leonard Adolphs · Aditya Rawal · Nicolas Brandt · Minhan Li · Giuseppe Ughi · Orlando Romero · Ivan Skorokhodov · Damien Scieur · Kiwook Bae · Konstantin Mishchenko · Rohan Anil · Vatsal Sharan · Aditya Balu · Chao Chen · Zhewei Yao · Tolga Ergen · Paul Grigas · Chris Junchi Li · Jimmy Ba · Stephen J Roberts · Sharan Vaswani · Armin Eftekhari · Chhavi Sharma
• 2019 Poster: Lookahead Optimizer: k steps forward, 1 step back »
  Michael Zhang · James Lucas · Jimmy Ba · Geoffrey E Hinton
• 2019 Poster: Graph Normalizing Flows »
  Jenny Liu · Aviral Kumar · Jimmy Ba · Jamie Kiros · Kevin Swersky
• 2018 Poster: Reversible Recurrent Neural Networks »
  Matthew MacKay · Paul Vicol · Jimmy Ba · Roger Grosse