conftrace_

Optimization & Theory

7,804 papers (27 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (1,960) Model Compression (1,896) Efficient Computing (1,780) Theory (1,239) Neural Network Optimization (1,004) Evaluation (533) Regularization (177) Loss Functions (157) Interpretability (128) Stochastic Methods (119) Generalization (115) Sparse Optimization (25)

Papers per year

8

7

12

6

16

9

25

48

45

60

94

150

295

436

675

803

1,010

944

1,346

1,352

463

'10

'15

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'25

Papers (including subtopics)

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding ACL 2024 Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance ACL 2024 Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024 Unraveling the Gradient Descent Dynamics of Transformers NeurIPS 2024 Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NeurIPS 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NeurIPS 2024 Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NeurIPS 2024 Unveiling Linguistic Regions in Large Language Models ACL 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NeurIPS 2024 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024 UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond NeurIPS 2024 USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit WACV 2024 USHER: Holistic Interference Avoidance for Resource Optimized ML Inference OSDI 2024 UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection ACL 2024 Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models AAAI 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation EMNLP 2024 VBench: Comprehensive Benchmark Suite for Video Generative Models CVPR 2024 VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024 VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation EMNLP 2024 vid-TLDR: Training Free Token Merging for Light-weight Video Transformer CVPR 2024 VINECS: Video-based Neural Character Skinning CVPR 2024 Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models CVPR 2024