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10/24/2022
Reachability-Aware Laplacian Representation in Reinforcement Learning
In Reinforcement Learning (RL), Laplacian Representation (LapRep) is a t...
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08/16/2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback
In this paper, we revisit the online non-monotone continuous DR-submodul...
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05/23/2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
How to accurately predict the properties of molecules is an essential pr...
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01/30/2022
The Geometry of Robust Value Functions
The space of value functions is a fundamental concept in reinforcement l...
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12/09/2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Class Incremental Learning (CIL) aims at learning a multi-class classifi...
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07/12/2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
The Laplacian representation recently gains increasing attention for rei...
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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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06/14/2020
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
Object region mining is a critical step for weakly-supervised semantic s...
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06/12/2020
