Papers

12094 papers

ICML2024

Optimal Kernel Quantile Learning with Random Features

Summary pending...

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ICML2024

FrameQuant: Flexible Low-Bit Quantization for Transformers

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ICML2024

The Non-linear $F$-Design and Applications to Interactive Learning

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ICML2024

Sub-token ViT Embedding via Stochastic Resonance Transformers

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ICML2024

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion

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ICML2024

Bifurcated Attention for Single-Context Large-Batch Sampling

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ICML2024

Switchable Decision: Dynamic Neural Generation Networks

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ICML2024

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning

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ICML2024

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

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ICML2024

Uniformly Stable Algorithms for Adversarial Training and Beyond

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ICML2024

An Empirical Study of Realized GNN Expressiveness

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ICML2024

Minimum-Norm Interpolation Under Covariate Shift

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ICML2024

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning

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ICML2024

Learning and Forgetting Unsafe Examples in Large Language Models

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ICML2024

On the Role of Edge Dependency in Graph Generative Models

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ICML2024

Graph Neural Network Explanations are Fragile

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ICML2024

On the Maximal Local Disparity of Fairness-Aware Classifiers

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ICML2024

Prospective Side Information for Latent MDPs

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ICML2024

Dynamic Correlation Clustering in Sublinear Update Time

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ICML2024

Privacy Preserving Adaptive Experiment Design

Summary pending...

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