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08/17/2023
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
Market making (MM) has attracted significant attention in financial trad...
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08/14/2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Humans have the ability to reuse previously learned policies to solve ne...
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07/20/2023
Cascade-DETR: Delving into High-Quality Universal Object Detection
Object localization in general environments is a fundamental part of vis...
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07/06/2023
Learning to Solve Tasks with Exploring Prior Behaviours
Demonstrations are widely used in Deep Reinforcement Learning (DRL) for ...
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05/08/2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
In reinforcement learning, unsupervised skill discovery aims to learn di...
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05/06/2023
LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries
Third-party libraries (TPLs) are extensively utilized by developers to e...
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04/17/2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Large language models have unlocked strong multi-task capabilities from ...
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12/09/2022
Non-equispaced Fourier Neural Solvers for PDEs
Solving partial differential equations is difficult. Recently proposed n...
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11/25/2022
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
Pre-trained vision-language models like CLIP have recently shown superio...
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11/12/2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
We investigate a practical domain adaptation task, called source-free do...
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10/24/2022
IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities
Multi-agent reinforcement learning(MARL) is a prevalent learning paradig...
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10/15/2022
CUP: Critic-Guided Policy Reuse
The ability to reuse previous policies is an important aspect of human i...
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07/26/2022
Tracking Every Thing in the Wild
Current multi-category Multiple Object Tracking (MOT) metrics use class ...
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05/27/2022
Architecture-Agnostic Masked Image Modeling – From ViT back to CNN
Masked image modeling (MIM), an emerging self-supervised pre-training me...
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03/23/2022
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
Finding relevant moments and highlights in videos according to natural l...
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03/15/2022
Style Transformer for Image Inversion and Editing
Existing GAN inversion methods fail to provide latent codes for reliable...
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12/09/2021
A Shared Representation for Photorealistic Driving Simulators
A powerful simulator highly decreases the need for real-world tests when...
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10/01/2021
Offline Reinforcement Learning with Reverse Model-based Imagination
In offline reinforcement learning (offline RL), one of the main challeng...
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05/31/2021
Efficient Hierarchical Exploration with Stable Subgoal Representation Learning
Goal-conditioned hierarchical reinforcement learning (HRL) serves as a s...
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09/21/2020
Deep Clustering and Representation Learning that Preserves Geometric Structures
In this paper, we propose a novel framework for Deep Clustering and Repr...
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01/23/2020
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Our goal is to capture the pose of neuroscience model organisms, without...
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10/10/2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Hierarchical Reinforcement Learning (HRL) is a promising approach to sol...
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03/20/2019
Single Image Deraining: A Comprehensive Benchmark Analysis
We present a comprehensive study and evaluation of existing single image...
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02/28/2019
PFLD: A Practical Facial Landmark Detector
Being accurate, efficient, and compact is essential to a facial landmark...
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06/11/2018
Context-Aware Policy Reuse
Transfer learning can greatly speed up reinforcement learning for a new ...
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04/08/2018
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Rain effect in images typically is annoying for many multimedia and comp...
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11/29/2017
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
Human visual system relies on both binocular stereo cues and monocular f...
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10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
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09/24/2017
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning
Transfer learning significantly accelerates the reinforcement learning p...
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08/02/2017