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08/29/2023
C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model
Co-speech gesture generation is crucial for automatic digital avatar ani...
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07/30/2023
SR-R^2KAC: Improving Single Image Defocus Deblurring
We propose an efficient deep learning method for single image defocus de...
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07/14/2023
Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts
Zero-shot text-to-speech aims at synthesizing voices with unseen speech ...
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03/14/2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Conventional reinforcement learning (RL) needs an environment to collect...
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11/10/2022
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain
Transcranial temporal interference stimulation (tTIS) has been reported ...
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08/15/2022
Unsupervised Video Domain Adaptation: A Disentanglement Perspective
Unsupervised video domain adaptation is a practical yet challenging task...
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03/09/2022
Language Adaptive Cross-lingual Speech Representation Learning with Sparse Sharing Sub-networks
Unsupervised cross-lingual speech representation learning (XLSR) has rec...
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06/14/2021
Graph Domain Adaptation: A Generative View
Recent years have witnessed tremendous interest in deep learning on grap...
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05/31/2021
Adaptive Multi-Source Causal Inference
Data scarcity is a tremendous challenge in causal effect estimation. In ...
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02/09/2021
Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks
Intent detection and slot filling are two fundamental tasks for building...
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12/22/2020
Learning Disentangled Semantic Representation for Domain Adaptation
Domain adaptation is an important but challenging task. Most of the exis...
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11/27/2020
Randomized Transferable Machine
Feature-based transfer is one of the most effective methodologies for tr...
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11/02/2020
Cooperative Heterogeneous Deep Reinforcement Learning
Numerous deep reinforcement learning agents have been proposed, and each...
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10/17/2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Imbalanced learning (IL), i.e., learning unbiased models from class-imba...
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08/08/2020
Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
This work is inspired by recent advances in hierarchical reinforcement l...
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05/06/2020
Subdomain Adaptation with Manifolds Discrepancy Alignment
Reducing domain divergence is a key step in transfer learning problems. ...
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04/24/2020
A Causal Modeling Framework with Stochastic Confounders
This work aims to extend the current causal inference framework to incor...
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11/10/2019