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Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers

Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers

On Occlusions in Video Action Detection Benchmark Datasets And Training Recipes

On Occlusions in Video Action Detection Benchmark Datasets And Training Recipes

The Routledge Handbook to Qualitative Accounting Research Methods Second Edition

The Routledge Handbook to Qualitative Accounting Research Methods Second Edition

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Training-Free Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization

Training-Free Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization

SparseLGS: Sparse View Language Embedded Gaussian Splatting

SparseLGS: Sparse View Language Embedded Gaussian Splatting

Thinking Fast and Slow

Thinking Fast and Slow

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Quantum Codes from Group Codes

Quantum Codes from Group Codes

Big Data Approach to Kazhdan–Lusztig Polynomials

Big Data Approach to Kazhdan–Lusztig Polynomials

Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs

Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs

Optimization over Bounded-Rank Matrices Through a Desingularization Enables Joint Global and Local Guarantees

Optimization over Bounded-Rank Matrices Through a Desingularization Enables Joint Global and Local Guarantees

Walking on Spheres and Talking to Neighbors Variance Reduction for Laplace’s Equation

Walking on Spheres and Talking to Neighbors Variance Reduction for Laplace’s Equation

Membangun dan Melejitkan Super Tim: Super Team Sales Forces

Membangun dan Melejitkan Super Tim: Super Team Sales Forces

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Randomized Confidence Bounds for Stochastic Partial Monitoring

Randomized Confidence Bounds for Stochastic Partial Monitoring

An Information-Based Micro-Kalman Filter for Satellite Tracking: A Comparative Study

An Information-Based Micro-Kalman Filter for Satellite Tracking: A Comparative Study

Neural Active Learning Meets the Partial Monitoring Framework

Neural Active Learning Meets the Partial Monitoring Framework