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FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
Arxiv
0+阅读 · 12月4日
Why and When Deep is Better than Shallow: An Implementation-Agnostic State-Transition View of Depth Supremacy
Arxiv
0+阅读 · 11月4日
Un-mixing Test-time Adaptation under Heterogeneous Data Streams
Arxiv
0+阅读 · 11月28日
HybridSOMSpikeNet: A Deep Model with Differentiable Soft Self-Organizing Maps and Spiking Dynamics for Waste Classification
HybridSOMSpikeNet: A Deep Model with Differentiable Soft Self-Organizing Maps and Spiking Dynamics for Waste Classification
Arxiv
0+阅读 · 10月23日
SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation
Arxiv
0+阅读 · 10月16日
Say My Name: a Model's Bias Discovery Framework
Arxiv
0+阅读 · 10月16日
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
Arxiv
0+阅读 · 3月28日
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data
Arxiv
0+阅读 · 3月27日
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry
Arxiv
0+阅读 · 3月12日
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry
Arxiv
0+阅读 · 3月17日
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry
Arxiv
0+阅读 · 3月18日
Bilingual Dual-Head Deep Model for Parkinson's Disease Detection from Speech
Arxiv
0+阅读 · 3月13日
Aligning Large Language Models and Geometric Deep Models for Protein Representation
Arxiv
0+阅读 · 3月4日
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Arxiv
0+阅读 · 2月27日
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training
Arxiv
0+阅读 · 2024年11月25日
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