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)

Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method ACL 2025 Extracting and Understanding the Superficial Knowledge in Alignment NAACL 2025 Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference AAAI 2025 FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025 FADE: Why Bad Descriptions Happen to Good Features ACL 2025 FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression EMNLP 2025 FairTP: A Prolonged Fairness Framework for Traffic Prediction AAAI 2025 Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree AAAI 2025 FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion CVPR 2025 Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs EMNLP 2025 Fast and Slow Gradient Approximation for Binary Neural Network Optimization AAAI 2025 Faster and Better LLMs via Latency-Aware Test-Time Scaling EMNLP 2025 Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size ACML 2025 Faster Double Adaptive Gradient Methods AAAI 2025 Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding EMNLP 2025 Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree ACL 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025 Fast training and sampling of Restricted Boltzmann Machines ICLR 2025 FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025 FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025 FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection AAAI 2025 Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration ICCV 2025 Feature Clipping for Uncertainty Calibration AAAI 2025 Feature Spectrum Learning for Remote Sensing Change Detection CVPR 2025 FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025