Papers

12094 papers

ICML2023

Towards Reliable Neural Specifications

Summary pending...

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ICML2023

Multi-Task Off-Policy Learning from Bandit Feedback

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ICML2023

Exponential Smoothing for Off-Policy Learning

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ICML2023

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework

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ICML2023

Jump-Start Reinforcement Learning

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ICML2023

Robust Explanation for Free or At the Cost of Faithfulness

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ICML2023

Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction

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ICML2023

Adversarial Learning of Distributional Reinforcement Learning

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ICML2023

Reinforcement Learning Can Be More Efficient with Multiple Rewards

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ICML2023

Global optimality for Euclidean CCCP under Riemannian convexity

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ICML2023

Quantifying the Variability Collapse of Neural Networks

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ICML2023

Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network

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ICML2023

Near-Optimal Quantum Coreset Construction Algorithms for Clustering

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ICML2023

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

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ICML2023

A Category-theoretical Meta-analysis of Definitions of Disentanglement

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ICML2023

When does Privileged information Explain Away Label Noise?

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ICML2023

On the Initialization of Graph Neural Networks

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ICML2023

Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption

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ICML2023

Margin-based sampling in high dimensions: When being active is less efficient than staying passive

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ICML2023

Trapdoor Normalization with Irreversible Ownership Verification

Summary pending...

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