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07/17/2023
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs
LLMs have demonstrated remarkable abilities at interacting with humans t...
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06/08/2023
Offline Prioritized Experience Replay
Offline reinforcement learning (RL) is challenged by the distributional ...
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06/01/2023
Improving and Benchmarking Offline Reinforcement Learning Algorithms
Recently, Offline Reinforcement Learning (RL) has achieved remarkable pr...
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05/31/2023
Efficient Diffusion Policies for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims to learn optimal policies from ...
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05/27/2023
MADiff: Offline Multi-agent Learning with Diffusion Models
Diffusion model (DM), as a powerful generative model, recently achieved ...
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02/09/2023
Bag of Tricks for Training Data Extraction from Language Models
With the advance of language models, privacy protection is receiving mor...
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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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10/14/2022
Mutual Information Regularized Offline Reinforcement Learning
Offline reinforcement learning (RL) aims at learning an effective policy...
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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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10/09/2021
Deep Long-Tailed Learning: A Survey
Deep long-tailed learning, one of the most challenging problems in visua...
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03/22/2021
DeepViT: Towards Deeper Vision Transformer
Vision transformers (ViTs) have been successfully applied in image class...
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10/21/2020
Improving Generalization in Reinforcement Learning with Mixture Regularization
Deep reinforcement learning (RL) agents trained in a limited set of envi...
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08/06/2020
Few-shot Classification via Adaptive Attention
Training a neural network model that can quickly adapt to a new task is ...
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07/23/2020
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation
Most existing object instance detection and segmentation models only wor...
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06/18/2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Solving long-tail large vocabulary object detection with deep learning b...
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10/29/2019
Classification Calibration for Long-tail Instance Segmentation
Remarkable progress has been made in object instance detection and segme...
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10/21/2019
Decoupling Representation and Classifier for Long-Tailed Recognition
The long-tail distribution of the visual world poses great challenges fo...
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10/21/2019
Regularization Matters in Policy Optimization
Deep Reinforcement Learning (Deep RL) has been receiving increasingly mo...
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10/21/2019
Transferable Recognition-Aware Image Processing
Recent progress in image recognition has stimulated the deployment of vi...
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12/25/2018
Similarity R-C3D for Few-shot Temporal Activity Detection
Many activities of interest are rare events, with only a few labeled exa...
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12/05/2018
Few-shot Object Detection via Feature Reweighting
This work aims to solve the challenging few-shot object detection proble...
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02/07/2016
