263 citations · 1.9k across the 99 of their papers we have counts for
109 papers
Hierarchical Continuous Diffusion Language Models
Hui Ren, Zihan Li, Chang Liu +2
Discrete diffusion language models offer a compelling alternative to autoregressive generation for tasks demanding bidirectional reasoning and global constraint satisfaction. Yet t…
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
Decision Transformers have recently emerged as a new and compelling paradigm for offline Reinforcement Learning (RL), completing a trajectory in an autoregressive way. While improv…
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning
Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
We propose the new task 'open-world video instance segmentation and captioning'. It requires to detect, segment, track and describe with rich captions never before seen objects. Th…
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D
Pengsheng Guo, Hans Hao, Adam Caccavale +7
In the realm of text-to-3D generation, utilizing 2D diffusion models through score distillation sampling (SDS) frequently leads to issues such as blurred appearances and multi-face…
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
Offline imitation from observations aims to solve MDPs where only task-specific expert states and task-agnostic non-expert state-action pairs are available. Offline imitation is us…
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
Kai Yan, Alexander G. Schwing, Yu-xiong Wang
In real-world scenarios, arbitrary interactions with the environment can often be costly, and actions of expert demonstrations are not always available. To reduce the need for both…