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08/03/2023
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling
Text-to-motion generation has gained increasing attention, but most exis...
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04/20/2023
Two-Memory Reinforcement Learning
While deep reinforcement learning has shown important empirical success,...
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03/11/2023
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation
Referring image segmentation segments an image from a language expressio...
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02/28/2023
deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition
Existing self-supervised pre-trained speech models have offered an effec...
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12/06/2022
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation
Go-Explore achieved breakthrough performance on challenging reinforcemen...
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11/28/2022
Continuous Episodic Control
Non-parametric episodic memory can be used to quickly latch onto high-re...
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10/25/2022
Flexible Android Malware Detection Model based on Generative Adversarial Networks with Code Tensor
The behavior of malware threats is gradually increasing, heightened the ...
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09/14/2022
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Noise robustness in keyword spotting remains a challenge as many models ...
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03/29/2022
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
Go-Explore achieved breakthrough performance on challenging reinforcemen...
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12/10/2021
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification
ideo-based person re-identification (Re-ID) aims to match person images ...
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12/04/2021
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Referring image segmentation is a fundamental vision-language task that ...
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09/12/2021
The Logic Traps in Evaluating Post-hoc Interpretations
Post-hoc interpretation aims to explain a trained model and reveal how t...
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09/10/2021
Potential-based Reward Shaping in Sokoban
Learning to solve sparse-reward reinforcement learning problems is diffi...
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08/13/2021
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
The delayed feedback problem is one of the imperative challenges in onli...
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05/25/2021
Transfer Learning and Curriculum Learning in Sokoban
Transfer learning can speed up training in machine learning and is regul...
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02/28/2021
Explore User Neighborhood for Real-time E-commerce Recommendation
Recommender systems play a vital role in modern online services, such as...
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05/06/2020
Two-Grid Deflated Krylov Methods for Linear Equations
An approach is given for solving large linear systems that combines Kryl...
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12/03/2019
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices
In this work, we propose ELFISH - a resource-aware federated learning fr...
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10/24/2019
Anchor Diffusion for Unsupervised Video Object Segmentation
Unsupervised video object segmentation has often been tackled by methods...
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10/22/2019
Hetero-Center Loss for Cross-Modality Person Re-Identification
Cross-modality person re-identification is a challenging problem which r...
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06/25/2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling
Recently, click-through rate (CTR) prediction models have evolved from s...
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12/29/2018