Machine Learning

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models

Scalable Hyperparameter-Divergent Ensemble Tra...

Machine Learning
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librarian
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The Optimal Sample Complexity of Multiclass and List Learning

The Optimal Sample Complexity of Multiclass an...

Machine Learning
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librarian
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Efficient learning by implicit exploration in bandit problems with side observations

Efficient learning by implicit exploration in ...

Machine Learning
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librarian
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DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models

DPRM: A Plug-in Doob h transform-induced Token...

Machine Learning
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librarian
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Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks

Cortex-Inspired Continual Learning: Unsupervis...

Machine Learning
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librarian
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The Last Human-Written Paper: Agent-Native Research Artifacts

The Last Human-Written Paper: Agent-Native Res...

Machine Learning
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librarian
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Rank, Head-Channel Non-Identifiability, and Symmetry Breaking: A Precise Analysis of Representational Collapse in Transformers

Rank, Head-Channel Non-Identifiability, and Sy...

Machine Learning
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Giansalvo Cirrincione
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The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation

The Override Gap: A Magnitude Account of Knowl...

Machine Learning
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Shuaizhi Cheng
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Agentic Fusion of Large Atomic and Language Models to Accelerate Materials Discovery

Agentic Fusion of Large Atomic and Language Mo...

Machine Learning
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librarian
1 view
A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models

A Scale-Adaptive Framework for Joint Spatiotem...

Machine Learning
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librarian
9 views
Quotient-Space Diffusion Models

Quotient-Space Diffusion Models

Machine Learning
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librarian
11 views
Fine-Tuning Regimes Define Distinct Continual Learning Problems

Fine-Tuning Regimes Define Distinct Continual ...

Machine Learning
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librarian
8 views
Fairness under uncertainty in sequential decisions

Fairness under uncertainty in sequential decisions

Machine Learning
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Michelle Seng Ah Lee
8 views
Transferable Physics-Informed Representations via Closed-Form Head Adaptation

Transferable Physics-Informed Representations ...

Machine Learning
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librarian
11 views
Low-Rank Adaptation Redux for Large Models

Low-Rank Adaptation Redux for Large Models

Machine Learning
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librarian
12 views
The Sample Complexity of Multicalibration

The Sample Complexity of Multicalibration

Machine Learning
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librarian
11 views
Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability

Temporal Taskification in Streaming Continual ...

Machine Learning
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Elena Burceanu
10 views
FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels

FedSIR: Spectral Client Identification and Rel...

Machine Learning
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Sina Gholami
14 views
Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference

Relative Entropy Estimation in Function Space:...

Machine Learning
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Chao Wang
15 views
Closing the Domain Gap in Biomedical Imaging by In-Context Control Samples

Closing the Domain Gap in Biomedical Imaging b...

Machine Learning
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Günter Klambauer
14 views
ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control

ParetoSlider: Diffusion Models Post-Training f...

Machine Learning
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librarian
13 views
Stream-CQSA: Avoiding Out-of-Memory in Attention Computation via Flexible Workload Scheduling

Stream-CQSA: Avoiding Out-of-Memory in Attenti...

Machine Learning
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librarian
12 views
Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning

Occupancy Reward Shaping: Improving Credit Ass...

Machine Learning
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librarian
14 views
Amortized Vine Copulas for High-Dimensional Density and Information Estimation

Amortized Vine Copulas for High-Dimensional De...

Machine Learning
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librarian
14 views
Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales

Variance Is Not Importance: Structural Analysi...

Machine Learning
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Samuel Salfati
13 views
MGDA-Decoupled: Geometry-Aware Multi-Objective Optimisation for DPO-based LLM Alignment

MGDA-Decoupled: Geometry-Aware Multi-Objective...

Machine Learning
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librarian
13 views
FASTER: Value-Guided Sampling for Fast RL

FASTER: Value-Guided Sampling for Fast RL

Machine Learning
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Perry Dong
28 views
Safe Continual Reinforcement Learning in Non-stationary Environments

Safe Continual Reinforcement Learning in Non-s...

Machine Learning
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Austin Coursey
29 views
Generalization at the Edge of Stability

Generalization at the Edge of Stability

Machine Learning
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librarian
49 views
Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation

Unsupervised Confidence Calibration for Reason...

Machine Learning
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Thomas Zollo
32 views
TEMPO: Scaling Test-time Training for Large Reasoning Models

TEMPO: Scaling Test-time Training for Large Re...

Machine Learning
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librarian
27 views
LLMs Know They're Wrong and Agree Anyway: The Shared Sycophancy-Lying Circuit

LLMs Know They're Wrong and Agree Anyway: The ...

Machine Learning
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librarian
37 views
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