Papers

12094 papers

ICML2024

The Expressive Power of Path-Based Graph Neural Networks

Summary pending...

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ICML2024

An Iterative Min-Min Optimization Method for Sparse Bayesian Learning

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ICML2024

RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning

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ICML2024

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

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ICML2024

Stay on Topic with Classifier-Free Guidance

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ICML2024

Chain-of-Thought Predictive Control

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ICML2024

On the Trajectory Regularity of ODE-based Diffusion Sampling

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ICML2024

Neuro-Symbolic Temporal Point Processes

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ICML2024

Roping in Uncertainty: Robustness and Regularization in Markov Games

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ICML2024

Larimar: Large Language Models with Episodic Memory Control

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ICML2024

ReLUs Are Sufficient for Learning Implicit Neural Representations

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ICML2024

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

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ICML2024

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems

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ICML2024

Model Alignment as Prospect Theoretic Optimization

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ICML2024

Restoring balance: principled under/oversampling of data for optimal classification

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ICML2024

Privacy Profiles for Private Selection

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ICML2024

GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding

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ICML2024

Predicting Lagrangian Multipliers for Mixed Integer Linear Programs

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ICML2024

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process

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ICML2024

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning

Summary pending...

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