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08/15/2023
NeFL: Nested Federated Learning for Heterogeneous Clients
Federated learning (FL) is a promising approach in distributed learning ...
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07/12/2023
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models
Large-scale image generation models, with impressive quality made possib...
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02/01/2023
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations
We introduce an efficient optimization-based meta-learning technique for...
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06/16/2022
Patch-level Representation Learning for Self-supervised Vision Transformers
Recent self-supervised learning (SSL) methods have shown impressive resu...
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03/18/2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Preference-based reinforcement learning (RL) has shown potential for tea...
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07/01/2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Recent advance in deep offline reinforcement learning (RL) has made it p...
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07/16/2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Novelty detection, i.e., identifying whether a given sample is drawn fro...
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07/14/2020
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Experience replay, which enables the agents to remember and reuse experi...
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06/22/2020
QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning
We propose a novel value-based algorithm for cooperative multi-agent rei...
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02/25/2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Generative adversarial networks (GANs) have shown outstanding performanc...
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02/25/2020
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs
Generative adversarial networks (GANs) have shown outstanding performanc...
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04/06/2017
