Jimmy Ba

发表

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Yoshua Bengio, Ruslan Salakhutdinov, Richard S. Zemel, 2015, ICML.

Learning Wake-Sleep Recurrent Attention Models

Brendan J. Frey, Ruslan Salakhutdinov, Roger B. Grosse, 2015, NIPS.

BatchEnsemble: Efficient Ensemble of Deep Neural Networks via Rank-1 Perturbation

Jimmy Ba, Yeming Wen, Dustin Tran, 2019 .

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Elman Mansimov, Roger B. Grosse, Jimmy Ba, 2017, NIPS.

Using Fast Weights to Attend to the Recent Past

Geoffrey E. Hinton, Joel Z. Leibo, Jimmy Ba, 2016, NIPS.

Do Deep Nets Really Need to be Deep?

Rich Caruana, Jimmy Ba, Jimmy Ba, 2013, NIPS.

Dream to Control: Learning Behaviors by Latent Imagination pdf

Mohammad Norouzi, Jimmy Ba, Danijar Hafner, 2019, ICLR.

LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning pdf

Roger B. Grosse, Christian Szegedy, Markus N. Rabe, 2021, ICML.

Classifying and segmenting microscopy images with deep multiple instance learning

Brendan J. Frey, Jimmy Ba, Oren Z. Kraus, 2015, Bioinform..

Adaptive dropout for training deep neural networks

Brendan J. Frey, Jimmy Ba, Jimmy Ba, 2013, NIPS.

ACTRCE: Augmenting Experience via Teacher’s Advice

Jimmy Ba, Yuhuai Wu, S. Fidler, 2018 .

On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

Jason D. Lee, Jimmy Ba, Meisam Razaviyayn, 2018, NeurIPS.

Action and Perception as Divergence Minimization pdf

Karl J. Friston, Thomas Parr, Karl Friston, 2020, ArXiv.

Towards Characterizing the High-dimensional Bias of Kernel-based Particle Inference Algorithms

Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, 2019 .

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality pdf

Jimmy Ba, Kiarash Jamali, Silviu Pitis, 2020, ICLR.

When Does Preconditioning Help or Hurt Generalization? pdf

Taiji Suzuki, Roger B. Grosse, Ji Xu, 2020, ICLR.

On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach pdf

Guodong Zhang, Jimmy Ba, Yuanhao Wang, 2019, ICLR.

Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint

Taiji Suzuki, Jimmy Ba, Murat A. Erdogdu, 2020, ICLR.

User-interfaces based on the water-hammer effect: water-hammer piano as an interactive percussion surface

Steve Mann, Jimmy Ba, Ryan E. Janzen, 2010, Tangible and Embedded Interaction.

Automated analysis of high‐content microscopy data with deep learning

Yolanda T. Chong, Oren Z. Kraus, Jimmy Ba, 2017, Molecular systems biology.

Clockwork Variational Autoencoders for Video Prediction

Jimmy Ba, Danijar Hafner, Vaibhav Saxena, 2021, 2102.09532.

On Solving Local Minimax Optimization: A Follow-the-Ridge Approach

Jimmy Ba, Guodong Zhang, Yuanhao Wang, 2019 .

D ISTRIBUTED SECOND-ORDER OPTIMIZATION USING K RONECKER-FACTORED APPROXIMATIONS

Jimmy Ba, 2017 .

Graph Generation with Energy-Based Models

Jimmy Ba, Will Grathwohl, Kevin Swersky, 2020 .

How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?

John P. Dickerson, Jimmy Ba, Keyulu Xu, 2020, NeurIPS.

VISUAL ATTENTION

Jimmy Ba, K. Kavukcuoglu, Volodymyr Mnih, 2015 .

An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise

Guodong Zhang, Jimmy Ba, Yeming Wen, 2020, AISTATS.

A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed

Jimmy Ba, Tianzong Zhang, Fartash Faghri, 2019 .

Distributed Second-Order Optimization using Kronecker-Factored Approximations

Roger B. Grosse, Jimmy Ba, James Martens, 2016, ICLR.

Dream to Control: Learning Behaviors by Latent Imagination

Jimmy Ba, T. Lillicrap, Mohammad Norouzi, 2019, ICLR.

Neural Theorem Proving on Inequality Problems

Roger B. Grosse, Jimmy Ba, Yuhuai Wu, 2020 .

Dataset Distillation using Neural Feature Regression

Jimmy Ba, Yongchao Zhou, E. Nezhadarya, 2022, NeurIPS.

You Can't Count on Luck: Why Decision Transformers Fail in Stochastic Environments

Sheila A. McIlraith, Jimmy Ba, Keiran Paster, 2022, ArXiv.

A Vector Institute Industry Collaborative Project A Technical Report Harnessing the Power of Natural Language Processing (NLP):

Garth A. Gibson, Jimmy Ba, Gennady Pekhimenko, 2020 .

Exploring Low Rank Training of Deep Neural Networks

Aidan N. Gomez, Jimmy Ba, Y. Gal, 2022, ArXiv.

An Empirical Study of Large-Batch Stochastic Gradient Descent with Structured Covariance Noise

Jimmy Ba, Yeming Wen, Harris Chan, 2019, 1902.08234.

Large Language Models Are Human-Level Prompt Engineers

Jimmy Ba, Silviu Pitis, Harris Chan, 2022, ArXiv.

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Michael Ruogu Zhang, Jimmy Ba, Juhan Bae, 2022, ICLR.

You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments

Sheila A. McIlraith, Jimmy Ba, Keiran Paster, 2022, NeurIPS.

R ETURN A UGMENTATION GIVES S UPERVISED RL T EMPORAL C OMPOSITIONALITY

Sheila A. McIlraith, Jimmy Ba, Silviu Pitis, 2022 .

Mastering Diverse Domains through World Models

Jimmy Ba, T. Lillicrap, Danijar Hafner, 2023, ArXiv.

High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

Murat A. Erdogdu, Jimmy Ba, Taiji Suzuki, 2022, NeurIPS.

Adam: A Method for Stochastic Optimization pdf

Jimmy Ba, Diederik P. Kingma, Jimmy Ba, 2014, ICLR.

On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach

Jimmy Ba, Guodong Zhang, Yuanhao Wang, 2019, ICLR.

Kronecker-factored Curvature Approximations for Recurrent Neural Networks

Jimmy Ba, James Martens, Matt Johnson, 2018, ICLR.

Lookahead Optimizer: k steps forward, 1 step back

Geoffrey E. Hinton, James Lucas, Jimmy Ba, 2019, NeurIPS.

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning pdf

Dustin Tran, Jimmy Ba, Yeming Wen, 2020, ICLR.

Mastering Atari with Discrete World Models pdf

Mohammad Norouzi, Jimmy Ba, Danijar Hafner, 2020, ICLR.

Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise

Jimmy Ba, Yeming Wen, Guodong Zhang, 2019, ArXiv.

Layer Normalization pdf

Geoffrey E. Hinton, Jimmy Ba, Jamie Ryan Kiros, 2016, ArXiv.

Benchmarking Model-Based Reinforcement Learning pdf

Pieter Abbeel, Guodong Zhang, Jimmy Ba, 2019, ArXiv.

NerveNet: Learning Structured Policy with Graph Neural Networks

Sanja Fidler, Renjie Liao, Jimmy Ba, 2018, ICLR.

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning pdf

Ruslan Salakhutdinov, Emilio Parisotto, Jimmy Ba, 2015, ICLR.

The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning pdf

Jimmy Ba, Roger Grosse, Yuhuai Wu, 2020, ArXiv.

Large Language Models Are Human-Level Prompt Engineers

Jimmy Ba, Silviu Pitis, Harris Chan, 2022, ICLR.

Action and Perception as Divergence Minimization

Karl J. Friston, Pedro A. Ortega, Jimmy Ba, 2020, ArXiv.

Rational Multi-Objective Agents Must Admit Non-Markov Reward Representations

Jimmy Ba, Silviu Pitis, Duncan Bailey, 2022 .

Exploring Model-based Planning with Policy Networks pdf

Jimmy Ba, Tingwu Wang, Jimmy Ba, 2019, ICLR.

Boosted Prompt Ensembles for Large Language Models

Michael Ruogu Zhang, Jimmy Ba, Silviu Pitis, 2023, ArXiv.

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning pdf

Jimmy Ba, Bradly C. Stadie, Silviu Pitis, 2020, ICML.

Learning Domain Invariant Representations in Goal-conditioned Block MDPs pdf

Jimmy Ba, Harris Chan, Keiran Paster, 2021, NeurIPS.

Generating Images from Captions with Attention pdf

Ruslan Salakhutdinov, Emilio Parisotto, Elman Mansimov, 2015, ICLR.

DOM-Q-NET: Grounded RL on Structured Language pdf

Jimmy Ba, Jamie Kiros, Sheng Jia, 2019, ICLR.

Multiple Object Recognition with Visual Attention pdf

Koray Kavukcuoglu, Jimmy Ba, Volodymyr Mnih, 2014, ICLR.

Graph Normalizing Flows

Aviral Kumar, Jimmy Ba, Kevin Swersky, 2019, NeurIPS.

Planning from Pixels using Inverse Dynamics Models pdf

Sheila A. McIlraith, Jimmy Ba, Keiran Paster, 2020, ICLR.

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches pdf

Dustin Tran, Roger B. Grosse, Paul Vicol, 2018, ICLR.

Reversible Recurrent Neural Networks

Roger B. Grosse, Paul Vicol, Jimmy Ba, 2018, NeurIPS.

Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions

Sanja Fidler, Ruslan Salakhutdinov, Jimmy Ba, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning pdf

Sanja Fidler, Jimmy Ba, Jamie Kiros, 2019, ArXiv.

Improving Transformer Optimization Through Better Initialization

Maksims Volkovs, Jimmy Ba, Felipe Pérez, 2020, ICML.

LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning

Markus N. Rabe, Christian Szegedy, Jimmy Ba, 2021, ICML.

INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving pdf

Jimmy Ba, Roger Grosse, Yuhuai Wu, 2020, ICLR.

Noisy Labels Can Induce Good Representations pdf

Jimmy Ba, John P. Dickerson, Keyulu Xu, 2020, ArXiv.

Learning Intrinsic Rewards as a Bi-Level Optimization Problem

Jimmy Ba, Bradly C. Stadie, Lunjun Zhang, 2020, UAI.

Efficient Statistical Tests: A Neural Tangent Kernel Approach

Ehsan Nezhadarya, Jimmy Ba, Yuhuai Wu, 2021, ICML.

Neural Graph Evolution: Towards Efficient Automatic Robot Design pdf

Sanja Fidler, Jimmy Ba, Yuhao Zhou, 2019, ICLR.

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Percy Liang, Jimmy Ba, Ishaan Gulrajani, 2023, ArXiv.

TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation

Jimmy Ba, S. Gorti, G. Loaiza-Ganem, 2023, ICML.

Second-order Optimization for Deep Reinforcement Learning using Kronecker-factored Approximation

Elman Mansimov, Roger B. Grosse, Jimmy Ba, 2017, NIPS 2017.

Training on Thin Air: Improve Image Classification with Generated Data

Jimmy Ba, Yongchao Zhou, Hshmat Sahak, 2023, ArXiv.

Clinical Camel: An Open-Source Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding

R. G. Krishnan, Jimmy Ba, Jimmy Ba, 2023, ArXiv.

Clockwork Variational Autoencoders

Jimmy Ba, Danijar Hafner, Vaibhav Saxena, 2021, Neural Information Processing Systems.

Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization

M. Lewis, Jimmy Ba, Amjad Almahairi, 2023, ArXiv.

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Jimmy Ba, Carlos Guestrin, Percy Liang, 2023, ArXiv.

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

Jimmy Ba, Yeming Wen, Dustin Tran, 2018, ICLR.

A Study of Gradient Variance in Deep Learning pdf

David J. Fleet, David Duvenaud, Jimmy Ba, 2020, ArXiv.

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality

Jimmy Ba, Silviu Pitis, Harris Chan, 2020, ICLR.

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Michael Ruogu Zhang, Jimmy Ba, Juhan Bae, 2022, ICLR.

U NDERSTANDING THE V ARIANCE C OLLAPSE OF SVGD IN H IGH D IMENSIONS

Murat A. Erdogdu, Denny Wu, Jimmy Ba, 2022 .

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

Sheila A. McIlraith, Jimmy Ba, Harris Chan, 2023, NeurIPS.

Understanding the Variance Collapse of SVGD in High Dimensions

Murat A. Erdogdu, Jimmy Ba, Taiji Suzuki, 2022, ICLR.

Visual Attention

Jeremy M Wolfe, Todd S Horowitz, Ester Reijnen, 2020, Computational Models for Cognitive Vision.