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)

Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above ACL 2025 Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? A Petroglyph Revisited ACL 2025 Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs ACL 2025 WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging ACL 2025 WINS: Winograd Structured Pruning for Fast Winograd Convolution ICCV 2025 WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression CVPR 2025 Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly EMNLP 2025 XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression EMNLP 2025 YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SemEval 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 Z1: Efficient Test-time Scaling with Code EMNLP 2025 ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025 zFLoRA: Zero-Latency Fused Low-Rank Adapters EMNLP 2025 ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity ICCV 2025 𝜙-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation ACL 2025 $\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling NeurIPS 2024 $C^2M^3$: Cycle-Consistent Multi-Model Merging NeurIPS 2024 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024 2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NeurIPS 2024 3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos CVPR 2024 3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability NeurIPS 2024 4K-Resolution Photo Exposure Correction at 125 FPS With ~8K Parameters WACV 2024 A Bayesian Approach to Data Point Selection NeurIPS 2024 ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods NeurIPS 2024