Hao Liu

Affiliations:
  • University of California, Berkeley, CA, USA


According to our database1, Hao Liu authored at least 29 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
ElasticTok: Adaptive Tokenization for Image and Video.
CoRR, 2024

World Model on Million-Length Video And Language With Blockwise RingAttention.
CoRR, 2024

The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

The False Promise of Imitating Proprietary Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

RingAttention with Blockwise Transformers for Near-Infinite Context.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Chain of Hindsight aligns Language Models with Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Exploration with Principles for Diverse AI Supervision.
CoRR, 2023

Ring Attention with Blockwise Transformers for Near-Infinite Context.
CoRR, 2023

Blockwise Parallel Transformer for Long Context Large Models.
CoRR, 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
CoRR, 2023

The False Promise of Imitating Proprietary LLMs.
CoRR, 2023

Aligning Text-to-Image Models using Human Feedback.
CoRR, 2023

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Blockwise Parallel Transformers for Large Context Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Agentic Transformer from Chain of Hindsight Experience.
Proceedings of the International Conference on Machine Learning, 2023

2022
FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners.
CoRR, 2022

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models.
CoRR, 2022

Multimodal Masked Autoencoders Learn Transferable Representations.
CoRR, 2022

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery.
CoRR, 2022

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.
CoRR, 2022

Palm up: Playing in the Latent Manifold for Unsupervised Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Masked Autoencoding for Scalable and Generalizable Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Masked World Models for Visual Control.
Proceedings of the Conference on Robot Learning, 2022

2021
Behavior From the Void: Unsupervised Active Pre-Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

APS: Active Pretraining with Successor Features.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Hybrid Discriminative-Generative Training via Contrastive Learning.
CoRR, 2020


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