Tianjun Zhang | DeepAI

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Featured Co-authors

Wei Zhang
393 publications
Xin Wang
382 publications
Sergey Levine
379 publications
Pieter Abbeel
263 publications
Yi Zhang
258 publications
Trevor Darrell
209 publications
Ruslan Salakhutdinov
194 publications
Xiao Liu
179 publications
Wei Wei
156 publications
Minlie Huang
138 publications
Jie Tang
135 publications

∙ 08/07/2023

AgentBench: Evaluating LLMs as Agents

Large Language Models (LLMs) are becoming increasingly smart and autonom...

0 Xiao Liu, et al. ∙

∙ 05/29/2023

Controllable Text-to-Image Generation with GPT-4

Current text-to-image generation models often struggle to follow textual...

0 Tianjun Zhang, et al. ∙

∙ 05/24/2023

Gorilla: Large Language Model Connected with Massive APIs

Large Language Models (LLMs) have seen an impressive wave of advances re...

0 Shishir G. Patil, et al. ∙

∙ 02/10/2023

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

Reinforcement learning has seen wide success in finetuning large languag...

0 Tianjun Zhang, et al. ∙

∙ 12/17/2022

Latent Variable Representation for Reinforcement Learning

Deep latent variable models have achieved significant empirical successe...

10 Tongzheng Ren, et al. ∙

∙ 11/21/2022

TEMPERA: Test-Time Prompting via Reinforcement Learning

Careful prompt design is critical to the use of large language models in...

0 Tianjun Zhang, et al. ∙

∙ 11/21/2022

Multitask Vision-Language Prompt Tuning

Prompt Tuning, conditioning on task-specific learned prompt vectors, has...

0 Sheng Shen, et al. ∙

∙ 08/22/2022

Efficient Planning in a Compact Latent Action Space

While planning-based sequence modelling methods have shown great potenti...

4 Zhengyao Jiang, et al. ∙

∙ 08/19/2022

Spectral Decomposition Representation for Reinforcement Learning

Representation learning often plays a critical role in reinforcement lea...

6 Tongzheng Ren, et al. ∙

∙ 07/14/2022

Making Linear MDPs Practical via Contrastive Representation Learning

It is common to address the curse of dimensionality in Markov decision p...

3 Tianjun Zhang, et al. ∙

∙ 06/15/2022

Contrastive Learning as Goal-Conditioned Reinforcement Learning

In reinforcement learning (RL), it is easier to solve a task if given a ...

0 Benjamin Eysenbach, et al. ∙

∙ 05/31/2022

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions

The successes of deep Reinforcement Learning (RL) are limited to setting...

0 Zhengyao Jiang, et al. ∙

∙ 11/22/2021

A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning

Representation learning lies at the heart of the empirical success of de...

0 Tongzheng Ren, et al. ∙

∙ 10/22/2021

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks

Goal-conditioned reinforcement learning (RL) can solve tasks in a wide r...

0 Tianjun Zhang, et al. ∙

∙ 10/07/2021

Multi-objective Optimization by Learning Space Partitions

In contrast to single-objective optimization (SOO), multi-objective opti...

18 Yiyang Zhao, et al. ∙

∙ 06/19/2021

Learning Space Partitions for Path Planning

Path planning, the problem of efficiently discovering high-reward trajec...

5 Kevin Yang, et al. ∙

∙ 06/18/2021

MADE: Exploration via Maximizing Deviation from Explored Regions

In online reinforcement learning (RL), efficient exploration remains par...

4 Tianjun Zhang, et al. ∙

∙ 07/09/2020

Contrastive Code Representation Learning

Machine-aided programming tools such as automated type predictors and au...

5 Paras Jain, et al. ∙

∙ 06/10/2019

ANODEV2: A Coupled Neural ODE Evolution Framework

It has been observed that residual networks can be viewed as the explici...

3 Tianjun Zhang, et al. ∙

∙ 11/27/2018

AI Matrix - Synthetic Benchmarks for DNN

Deep neural network (DNN) architectures, such as convolutional neural ne...

0 Wei Wei, et al. ∙

∙ 11/21/2018

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

Using FPGAs to accelerate ConvNets has attracted significant attention i...

8 Yifan Yang, et al. ∙

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