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)

Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 Latency Correction for Event-guided Deblurring and Frame Interpolation CVPR 2024 LAVIB: A Large-scale Video Interpolation Benchmark NeurIPS 2024 LawBench: Benchmarking Legal Knowledge of Large Language Models EMNLP 2024 Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024 Layer-Adaptive State Pruning for Deep State Space Models NeurIPS 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Layer Compression of Deep Networks with Straight Flows AAAI 2024 LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging ICML 2024 LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding ACL 2024 Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024 Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning ICML 2024 Layer-wise Regularized Dropout for Neural Language Models COLING 2024 LDReg: Local Dimensionality Regularized Self-Supervised Learning ICLR 2024 LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024 Learnability of high-dimensional targets by two-parameter models and gradient flow NeurIPS 2024 Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network ECCV 2024 Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024 Learning diffusion at lightspeed NeurIPS 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024