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

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'25

Papers (including subtopics)

Greed is All You Need: An Evaluation of Tokenizer Inference Methods ACL 2024 Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding ICLR 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 GSO-Net: Grid Surface Optimization via Learning Geometric Constraints AAAI 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024 GuardBench: A Large-Scale Benchmark for Guardrail Models EMNLP 2024 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NeurIPS 2024 Harder Task Needs More Experts: Dynamic Routing in MoE Models ACL 2024 Hardness of Learning Neural Networks under the Manifold Hypothesis NeurIPS 2024 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024 Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024 Harnessing small projectors and multiple views for efficient vision pretraining NeurIPS 2024 HDRFlow: Real-Time HDR Video Reconstruction with Large Motions CVPR 2024 Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024 HEMM: Holistic Evaluation of Multimodal Foundation Models NeurIPS 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024 Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024 HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024 High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise JMLR 2024 HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position ACL 2024 Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NeurIPS 2024 Homology Consistency Constrained Efficient Tuning for Vision-Language Models NeurIPS 2024 Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models EMNLP 2024