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

'20

'25

Papers (including subtopics)

Can Large Language Models Understand Real-World Complex Instructions? AAAI 2024 Can Transformers Learn n-gram Language Models? EMNLP 2024 CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation CVPR 2024 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting ICLR 2024 Cascade Speculative Drafting for Even Faster LLM Inference NeurIPS 2024 CAVA: A Tool for Cultural Alignment Visualization & Analysis EMNLP 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Challenges in Training PINNs: A Loss Landscape Perspective ICML 2024 Challenging Large Language Models with New Tasks: A Study on their Adaptability and Robustness ACL 2024 Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy EMNLP 2024 Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NeurIPS 2024 Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models NeurIPS 2024 CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification EMNLP 2024 Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024 ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition ACL 2024 CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem AAAI 2024 CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024 CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models EMNLP 2024 Clockwork Diffusion: Efficient Generation With Model-Step Distillation CVPR 2024 CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images CVPR 2024 CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending ACL 2024 Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars NeurIPS 2024 Codec-SUPERB: An In-Depth Analysis of Sound Codec Models ACL 2024 CodeFort: Robust Training for Code Generation Models EMNLP 2024