106 citations · 1k across the 95 of their papers we have counts for
16 papers · 1 filter
Model Selection in Batch Policy Optimization
Jonathan N. Lee, George Tucker, Ofir Nachum +1
We study the problem of model selection in batch policy optimization: given a fixed, partial-feedback dataset and model classes, learn a policy with performance that is competi…
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
Yuanbo Xiangli, Linning Xu, Xingang Pan +5
Neural radiance fields (NeRF) has achieved outstanding performance in modeling 3D objects and controlled scenes, usually under a single scale. In this work, we focus on multi-scale…
Extract Free Dense Labels from CLIP
Chong Zhou, Chen Change Loy, Bo Dai
Contrastive Language-Image Pre-training (CLIP) has made a remarkable breakthrough in open-vocabulary zero-shot image recognition. Many recent studies leverage the pre-trained CLIP…
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Liming Jiang, Bo Dai, Wayne Wu +1
Generative adversarial networks (GANs) typically require ample data for training in order to synthesize high-fidelity images. Recent studies have shown that training GANs with limi…
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
Xudong Xu, Xingang Pan, Dahua Lin +1
The advent of generative radiance fields has significantly promoted the development of 3D-aware image synthesis. The cumulative rendering process in radiance fields makes training…
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Xingang Pan, Xudong Xu, Chen Change Loy +2
The advancement of generative radiance fields has pushed the boundary of 3D-aware image synthesis. Motivated by the observation that a 3D object should look realistic from multiple…
The Curse of Passive Data Collection in Batch Reinforcement Learning
Chenjun Xiao, Ilbin Lee, Bo Dai +2
In high stake applications, active experimentation may be considered too risky and thus data are often collected passively. While in simple cases, such as in bandits, passive and a…
Scene-aware Generative Network for Human Motion Synthesis
Jingbo Wang, Sijie Yan, Bo Dai +1
We revisit human motion synthesis, a task useful in various real world applications, in this paper. Whereas a number of methods have been developed previously for this task, they a…
Leveraging Non-uniformity in First-order Non-convex Optimization
Jincheng Mei, Yue Gao, Bo Dai +2
Classical global convergence results for first-order methods rely on uniform smoothness and the Łojasiewicz inequality. Motivated by properties of objective functions that arise in…
Unsupervised 3D Shape Completion through GAN Inversion
Junzhe Zhang, Xinyi Chen, Zhongang Cai +6
Most 3D shape completion approaches rely heavily on partial-complete shape pairs and learn in a fully supervised manner. Despite their impressive performances on in-domain data, wh…
Visually Informed Binaural Audio Generation without Binaural Audios
Xudong Xu, Hang Zhou, Ziwei Liu +3
Stereophonic audio, especially binaural audio, plays an essential role in immersive viewing environments. Recent research has explored generating visually guided stereophonic audio…
Revisiting Skeleton-based Action Recognition
Haodong Duan, Yue Zhao, Kai Chen +2
Human skeleton, as a compact representation of human action, has received increasing attention in recent years. Many skeleton-based action recognition methods adopt graph convoluti…
A profit allocation mechanism for customer-to-manufacturer platform in e-commercial business
Bo Dai, Fenfen Li
A centralized collaboration problem of customer-to-manufacturer (C2M) platform in e-commercial business is studied in this paper, where an e-commercial company and multiple manufac…
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts
Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang +2
Authorship attribution (AA), which is the task of finding the owner of a given text, is an important and widely studied research topic with many applications. Recent works have sho…
Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren, Jialian Li, Bo Dai +2
We revisit offline reinforcement learning on episodic time-homogeneous Markov Decision Processes (MDP). For tabular MDP with states and actions, or linear MDP with anchor p…
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
Haoming Jiang, Bo Dai, Mengjiao Yang +2
Reliable automatic evaluation of dialogue systems under an interactive environment has long been overdue. An ideal environment for evaluating dialog systems, also known as the Turi…