Hao Liu - RankMe

41 papers A* 14A 1Misc 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ElasticTok: Adaptive Tokenization for Image and Video. ICLR Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu
2025	A*	`conf`	World Model on Million-Length Video And Language With Blockwise RingAttention. ICLR Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel
2024	A*	`conf`	Chain of Hindsight aligns Language Models with Feedback. ICLR Hao Liu, Carmelo Sferrazza, Pieter Abbeel
2024	J	`jnl`	ElasticTok: Adaptive Tokenization for Image and Video. CoRR Wilson Yan, Matei Zaharia, Volodymyr Mnih, Pieter Abbeel, Aleksandra Faust, Hao Liu
2024	A*	`conf`	RingAttention with Blockwise Transformers for Near-Infinite Context. ICLR Hao Liu, Matei Zaharia, Pieter Abbeel
2024	A*	`conf`	The False Promise of Imitating Proprietary Language Models. ICLR Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
2024	A	`conf`	The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. IROS Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
2024	J	`jnl`	World Model on Million-Length Video And Language With Blockwise RingAttention. CoRR Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel
2023	J	`jnl`	Aligning Text-to-Image Models using Human Feedback. CoRR Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu
2023	J	`jnl`	Blockwise Parallel Transformer for Long Context Large Models. CoRR Hao Liu, Pieter Abbeel
2023	A*	`conf`	Blockwise Parallel Transformers for Large Context Models. NeurIPS Hao Liu, Pieter Abbeel
2023	J	`jnl`	Chain of Hindsight Aligns Language Models with Feedback. CoRR Hao Liu, Carmelo Sferrazza, Pieter Abbeel
2023	J	`jnl`	DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. CoRR Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
2023	A*	`conf`	Emergent Agentic Transformer from Chain of Hindsight Experience. ICML Hao Liu, Pieter Abbeel
2023	J	`jnl`	Emergent Agentic Transformer from Chain of Hindsight Experience. CoRR Hao Liu, Pieter Abbeel
2023	J	`jnl`	Exploration with Principles for Diverse AI Supervision. CoRR Hao Liu, Matei Zaharia, Pieter Abbeel
2023	A*	`conf`	Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. NeurIPS Hao Liu, Wilson Yan, Pieter Abbeel
2023	J	`jnl`	Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. CoRR Hao Liu, Wilson Yan, Pieter Abbeel
2023	A*	`conf`	Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. NeurIPS Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
2023	J	`jnl`	Ring Attention with Blockwise Transformers for Near-Infinite Context. CoRR Hao Liu, Matei Zaharia, Pieter Abbeel
2023	J	`jnl`	The False Promise of Imitating Proprietary LLMs. CoRR Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
2023	J	`jnl`	The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. CoRR Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
2022	J	`jnl`	CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. CoRR Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
2022	J	`jnl`	Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning. CoRR Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto
2022	J	`jnl`	FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners. CoRR Hao Liu, Xinyang Geng, Lisa Lee, Igor Mordatch, Sergey Levine, Sharan Narang, Pieter Abbeel
2022	J	`jnl`	Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models. CoRR Hao Liu, Lisa Lee, Kimin Lee, Pieter Abbeel
2022	A*	`conf`	Masked Autoencoding for Scalable and Generalizable Decision Making. NeurIPS Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel
2022	J	`jnl`	Masked Autoencoding for Scalable and Generalizable Decision Making. CoRR Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel
2022	Misc	`conf`	Masked World Models for Visual Control. CoRL Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022	J	`jnl`	Masked World Models for Visual Control. CoRR Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022	J	`jnl`	Multimodal Masked Autoencoders Learn Transferable Representations. CoRR Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurams, Sergey Levine, Pieter Abbeel
2022	A*	`conf`	Palm up: Playing in the Latent Manifold for Unsupervised Pretraining. NeurIPS Hao Liu, Tom Zahavy, Volodymyr Mnih, Satinder Singh
2022	J	`jnl`	Palm up: Playing in the Latent Manifold for Unsupervised Pretraining. CoRR Hao Liu, Tom Zahavy, Volodymyr Mnih, Satinder Singh
2022	A*	`conf`	Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. NeurIPS Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
2021	A*	`conf`	APS: Active Pretraining with Successor Features. ICML Hao Liu, Pieter Abbeel
2021	J	`jnl`	APS: Active Pretraining with Successor Features. CoRR Hao Liu, Pieter Abbeel
2021	A*	`conf`	Behavior From the Void: Unsupervised Active Pre-Training. NeurIPS Hao Liu, Pieter Abbeel
2021	J	`jnl`	Behavior From the Void: Unsupervised Active Pre-Training. CoRR Hao Liu, Pieter Abbeel
2021	—	`conf`	URLB: Unsupervised Reinforcement Learning Benchmark. NeurIPS Datasets and Benchmarks Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
2021	J	`jnl`	URLB: Unsupervised Reinforcement Learning Benchmark. CoRR Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
2020	J	`jnl`	Hybrid Discriminative-Generative Training via Contrastive Learning. CoRR Hao Liu, Pieter Abbeel