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)

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials AAAI 2024 BitDelta: Your Fine-Tune May Only Be Worth One Bit NeurIPS 2024 BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation ACL 2024 BitsFusion: 1.99 bits Weight Quantization of Diffusion Model NeurIPS 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization AAAI 2024 Block Transformer: Global-to-Local Language Modeling for Fast Inference NeurIPS 2024 BMRS: Bayesian Model Reduction for Structured Pruning NeurIPS 2024 BOLD: Boolean Logic Deep Learning NeurIPS 2024 Boosted Conformal Prediction Intervals NeurIPS 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations CVPR 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models EMNLP 2024 Bridging the Divide: Reconsidering Softmax and Linear Attention NeurIPS 2024 Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers NeurIPS 2024 Building Variable-Sized Models via Learngene Pool AAAI 2024 BVT-IMA: Binary Vision Transformer with Information-Modified Attention AAAI 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video CVPR 2024 Cache Me if You Can: Accelerating Diffusion Models through Block Caching CVPR 2024 CALANet: Cheap All-Layer Aggregation for Human Activity Recognition NeurIPS 2024 Calibrating Language Models with Adaptive Temperature Scaling EMNLP 2024 Calibrating Long-form Generations From Large Language Models EMNLP 2024 CAMixerSR: Only Details Need More "Attention" CVPR 2024 Can Biases in ImageNet Models Explain Generalization? CVPR 2024