Machine Learning

Fairness-Aware Federated Learning with Trajectory Shapley Value

Fairness-Aware Federated Learning with Traject...

Machine Learning
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librarian
2 views
Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts

Can AI Weather Models Predict Beyond Two Weeks...

Machine Learning
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librarian
5 views
CalArena: A Large-Scale Post-Hoc Calibration Benchmark

CalArena: A Large-Scale Post-Hoc Calibration B...

Machine Learning
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Eugène Berta
5 views
Self-Trained Verification for Training- and Test-Time Self-Improvement

Self-Trained Verification for Training- and Te...

Machine Learning
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librarian
2 views
Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents

Mean-Field Diffuser: Scaling Offline MARL to T...

Machine Learning
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librarian
5 views
When, why, and how do diffusion posterior samplers fail? A finite-sample lens

When, why, and how do diffusion posterior samp...

Machine Learning
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Benjamin Burns
3 views
Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching

Efficient Test-Time Finetuning of LLMs via Con...

Machine Learning
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librarian
3 views
Transformers Provably Learn to Internalize Chain-of-Thought

Transformers Provably Learn to Internalize Cha...

Machine Learning
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librarian
16 views
Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations

Multi-Mixer Models: Flexible Sequence Modeling...

Machine Learning
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librarian
13 views
PEFT-Arena: Understanding Parameter-Efficient Finetuning from a Stability-Plasticity Perspective

PEFT-Arena: Understanding Parameter-Efficient ...

Machine Learning
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Yangyi Huang
13 views
Two Speeds of Learning: A Representation-Readout Decomposition of Grokking and Double Descent

Two Speeds of Learning: A Representation-Reado...

Machine Learning
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librarian
21 views
From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models

From Scores to Gibbs Correctors: Accelerating ...

Machine Learning
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librarian
24 views
Causal Risk Minimization for High-Dimensional Treatments

Causal Risk Minimization for High-Dimensional ...

Machine Learning
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librarian
25 views
Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling

Falcon-X: A Time Series Foundation Model for H...

Machine Learning
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librarian
26 views
Kan Extension Transformers: A Categorical Unification of Attention, Diffusion, and Predict-Detach Self-Conditioning

Kan Extension Transformers: A Categorical Unif...

Machine Learning
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librarian
25 views
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Guiding LLM Post-training Data Engineering wit...

Machine Learning
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librarian
36 views
MobileMoE: Scaling On-Device Mixture of Experts

MobileMoE: Scaling On-Device Mixture of Experts

Machine Learning
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librarian
21 views
Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay

Forgetting in Language Models: Capacity, Optim...

Machine Learning
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Martin Marek
29 views
Looped Diffusion Language Models

Looped Diffusion Language Models

Machine Learning
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Sanghyun Lee
28 views
Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning

Prism: A Plug-in Reproducible Infrastructure f...

Machine Learning
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librarian
32 views
Integrable Elasticity via Neural Demand Potentials

Integrable Elasticity via Neural Demand Potentials

Machine Learning
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librarian
42 views
Remember to be Curious: Episodic Context and Persistent Worlds for 3D Exploration

Remember to be Curious: Episodic Context and P...

Machine Learning
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librarian
44 views
Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees

Lumberjack: Better Differentially Private Rand...

Machine Learning
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librarian
36 views
The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler

The Value of Covariance Matching in Gaussian D...

Machine Learning
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librarian
34 views
Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation

Uniform Diffusion Models Revisited: Leave-One-...

Machine Learning
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librarian
31 views
The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning

The Matching Principle: A Geometric Theory of ...

Machine Learning
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Vishal Rajput
34 views
Vector Policy Optimization: Training for Diversity Improves Test-Time Search

Vector Policy Optimization: Training for Diver...

Machine Learning
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librarian
44 views
Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search

Optimized Federated Knowledge Distillation wit...

Machine Learning
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librarian
36 views
Fast and Stable Triangular Inversion for Delta-Rule Linear Transformers

Fast and Stable Triangular Inversion for Delta...

Machine Learning
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librarian
42 views
You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories

You Only Need Minimal RLVR Training: Extrapola...

Machine Learning
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librarian
42 views
Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate

Quantifying Hyperparameter Transfer and the Im...

Machine Learning
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librarian
38 views
Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning

Equilibrium Reasoners: Learning Attractors Ena...

Machine Learning
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librarian
37 views
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