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09/04/2023
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning
The black-box nature of deep reinforcement learning (RL) hinders them fr...
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09/04/2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance
Offline reinforcement learning (RL) optimizes the policy on a previously...
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09/04/2023
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention
Transformers have shown superior performance on various vision tasks. Th...
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09/01/2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
Fine-grained image recognition is a longstanding computer vision challen...
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08/30/2023
Latency-aware Unified Dynamic Networks for Efficient Image Recognition
Dynamic computation has emerged as a promising avenue to enhance the inf...
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08/27/2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Over the past decade, deep learning models have exhibited considerable a...
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08/20/2023
ExpeL: LLM Agents Are Experiential Learners
The recent surge in research interest in applying large language models ...
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08/08/2023
Learning Specialized Activation Functions for Physics-informed Neural Networks
Physics-informed neural networks (PINNs) are known to suffer from optimi...
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08/01/2023
FLatten Transformer: Vision Transformer using Focused Linear Attention
The quadratic computation complexity of self-attention has been a persis...
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06/27/2023
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition
Graph convolutional networks have been widely used in skeleton-based act...
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06/20/2023
Dynamic Perceiver for Efficient Visual Recognition
Early exiting has become a promising approach to improving the inference...
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06/08/2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Image recognition and generation have long been developed independently ...
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06/08/2023
Offline Prioritized Experience Replay
Offline reinforcement learning (RL) is challenged by the distributional ...
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06/06/2023
Boosting Offline Reinforcement Learning with Action Preference Query
Training practical agents usually involve offline and online reinforceme...
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05/25/2023
Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory
The captivating realm of Minecraft has attracted substantial research in...
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05/25/2023
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Text-to-image (T2I) research has grown explosively in the past year, owi...
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04/09/2023
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention
Self-attention mechanism has been a key factor in the recent progress of...
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04/06/2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
Recently, CLIP-guided image synthesis has shown appealing performance on...
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03/14/2023
Adaptive Rotated Convolution for Rotated Object Detection
Rotated object detection aims to identify and locate objects in images w...
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01/18/2023
Joint Representation Learning for Text and 3D Point Cloud
Recent advancements in vision-language pre-training (e.g. CLIP) have sho...
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12/16/2022
Convolution-enhanced Evolving Attention Networks
Attention-based neural networks, such as Transformers, have become ubiqu...
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12/08/2022
Deep Model Assembling
Large deep learning models have achieved remarkable success in many scen...
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11/18/2022
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
We present a novel bird's-eye-view (BEV) detector with perspective super...
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11/17/2022
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information
To effectively exploit the potential of large-scale models, various pre-...
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11/17/2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones
The superior performance of modern deep networks usually comes at the pr...
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11/17/2022
Cross-Modal Adapter for Text-Video Retrieval
Text-video retrieval is an important multi-modal learning task, where th...
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10/17/2022
Boosting Offline Reinforcement Learning via Data Rebalancing
Offline reinforcement learning (RL) is challenged by the distributional ...
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10/17/2022
Contrastive Language-Image Pre-Training with Knowledge Graphs
Recent years have witnessed the fast development of large-scale pre-trai...
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10/13/2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
Unsupervised reinforcement learning aims at learning a generalist policy...
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10/12/2022
Efficient Knowledge Distillation from Model Checkpoints
Knowledge distillation is an effective approach to learn compact models ...
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10/12/2022
Latency-aware Spatial-wise Dynamic Networks
Spatial-wise dynamic convolution has become a promising approach to impr...
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09/27/2022
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition
Recent research has revealed that reducing the temporal and spatial redu...
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09/18/2022
ActiveNeRF: Learning where to See with Uncertainty Estimation
Recently, Neural Radiance Fields (NeRF) has shown promising performances...
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09/17/2022
Learning to Weight Samples for Dynamic Early-exiting Networks
Early exiting is an effective paradigm for improving the inference effic...
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06/25/2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
Deep reinforcement learning (RL) algorithms suffer severe performance de...
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06/09/2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
Despite the popularity of Model Compression and Multitask Learning, how ...
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06/02/2022
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Self-supervised learning (SSL) has delivered superior performance on a v...
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05/31/2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs
While multitask representation learning has become a popular approach in...
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04/19/2022
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation attempts to make satisfactory dens...
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03/16/2022
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding
Visual grounding, i.e., localizing objects in images according to natura...
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02/25/2022
Learn From the Past: Experience Ensemble Knowledge Distillation
Traditional knowledge distillation transfers "dark knowledge" of a pre-t...
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02/14/2022
Domain Adaptation via Prompt Learning
Unsupervised domain adaption (UDA) aims to adapt models learned from a w...
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01/09/2022
Glance and Focus Networks for Dynamic Visual Recognition
Spatial redundancy widely exists in visual recognition tasks, i.e., disc...
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01/03/2022
Vision Transformer with Deformable Attention
Transformers have recently shown superior performances on various vision...
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12/28/2021
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
Recent works have shown that the computational efficiency of video recog...
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12/09/2021
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Self-supervised learning has shown its great potential to extract powerf...
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12/09/2021
Searching Parameterized AP Loss for Object Detection
Loss functions play an important role in training deep-network-based obj...
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12/08/2021
Assessing a Single Image in Reference-Guided Image Synthesis
Assessing the performance of Generative Adversarial Networks (GANs) has ...
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12/06/2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Deep reinforcement learning (RL) agents are becoming increasingly profic...
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11/29/2021