Machine Learning

On the Learnability of Offline Model-Based Optimization: A Ranking Perspective

On the Learnability of Offline Model-Based Opt...

Machine Learning
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librarian
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Relational In-Context Learning via Synthetic Pre-training with Structural Prior

Relational In-Context Learning via Synthetic P...

Machine Learning
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Muhan Zhang
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Spectral Surgery: Training-Free Refinement of LoRA via Gradient-Guided Singular Value Reweighting

Spectral Surgery: Training-Free Refinement of ...

Machine Learning
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Lizi Liao
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FedCova: Robust Federated Covariance Learning Against Noisy Labels

FedCova: Robust Federated Covariance Learning ...

Machine Learning
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librarian
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Tuning Just Enough: Lightweight Backdoor Attacks on Multi-Encoder Diffusion Models

Tuning Just Enough: Lightweight Backdoor Attac...

Machine Learning
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Ziyuan Chen
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Information Routing in Atomistic Foundation Models: How Equivariance Creates Linearly Disentangled Representations

Information Routing in Atomistic Foundation Mo...

Machine Learning
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librarian
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Learning Demographic-Conditioned Mobility Trajectories with Aggregate Supervision

Learning Demographic-Conditioned Mobility Traj...

Machine Learning
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Jessie Zixin Li
4 views
Coalgebras for categorical deep learning: Representability and universal approximation

Coalgebras for categorical deep learning: Repr...

Machine Learning
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Dragan Mašulović
2 views
Speculative Speculative Decoding

Speculative Speculative Decoding

Machine Learning
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Tanishq Kumar
3 views
On the Expressive Power of Transformers for Maxout Networks and Continuous Piecewise Linear Functions

On the Expressive Power of Transformers for Ma...

Machine Learning
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librarian
0 views
Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails

Why Adam Can Beat SGD: Second-Moment Normaliza...

Machine Learning
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librarian
0 views
From Complex Dynamics to DynFormer: Rethinking Transformers for PDEs

From Complex Dynamics to DynFormer: Rethinking...

Machine Learning
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librarian
0 views
Symbol-Equivariant Recurrent Reasoning Models

Symbol-Equivariant Recurrent Reasoning Models

Machine Learning
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librarian
7 views
Recursive Models for Long-Horizon Reasoning

Recursive Models for Long-Horizon Reasoning

Machine Learning
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librarian
4 views
Multi-Head Low-Rank Attention

Multi-Head Low-Rank Attention

Machine Learning
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librarian
6 views
Frontier Models Can Take Actions at Low Probabilities

Frontier Models Can Take Actions at Low Probab...

Machine Learning
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Alex Serrano
1 view
Scalable Multi-Task Low-Rank Model Adaptation

Scalable Multi-Task Low-Rank Model Adaptation

Machine Learning
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librarian
0 views
FlashOptim: Optimizers for Memory Efficient Training

FlashOptim: Optimizers for Memory Efficient Tr...

Machine Learning
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Jose Gonzalez Ortiz
10 views
SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport

SOTAlign: Semi-Supervised Alignment of Unimoda...

Machine Learning
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librarian
10 views
A Dataset is Worth 1 MB

A Dataset is Worth 1 MB

Machine Learning
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Elad Kimchi Shoshani
9 views
Learning in the Null Space: Small Singular Values for Continual Learning

Learning in the Null Space: Small Singular Val...

Machine Learning
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Cuong Anh Pham
22 views
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL

GUI-Libra: Training Native GUI Agents to Reaso...

Machine Learning
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librarian
16 views
Provable Last-Iterate Convergence for Multi-Objective Safe LLM Alignment via Optimistic Primal-Dual

Provable Last-Iterate Convergence for Multi-Ob...

Machine Learning
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librarian
18 views
Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-training

Why Pass@k Optimization Can Degrade Pass@1: Pr...

Machine Learning
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librarian
17 views
Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking

Untied Ulysses: Memory-Efficient Context Paral...

Machine Learning
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librarian
17 views
Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs

Learning from Trials and Errors: Reflective Te...

Machine Learning
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Yining Hong
16 views
Training-Free Generative Modeling via Kernelized Stochastic Interpolants

Training-Free Generative Modeling via Kerneliz...

Machine Learning
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librarian
42 views
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning

A Theory of How Pretraining Shapes Inductive B...

Machine Learning
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Nicolás Anguita
63 views
LAD: Learning Advantage Distribution for Reasoning

LAD: Learning Advantage Distribution for Reasoning

Machine Learning
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Wendi Li
20 views
Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data

Behavior Learning (BL): Learning Hierarchical ...

Machine Learning
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librarian
20 views
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting

Reverso: Efficient Time Series Foundation Mode...

Machine Learning
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librarian
28 views
Multi-Round Human-AI Collaboration with User-Specified Requirements

Multi-Round Human-AI Collaboration with User-S...

Machine Learning
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Sima Noorani
23 views
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