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)

Token Fusion: Bridging the Gap Between Token Pruning and Token Merging WACV 2024 ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models EMNLP 2024 Topological Expressivity of ReLU Neural Networks COLT 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 Torque Based Structured Pruning for Deep Neural Network WACV 2024 Toward Efficient Inference for Mixture of Experts NeurIPS 2024 Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024 Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024 Towards a theory of how the structure of language is acquired by deep neural networks NeurIPS 2024 Towards Benchmarking Situational Awareness of Large Language Models:Comprehensive Benchmark, Evaluation and Analysis EMNLP 2024 Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024 Towards Calibrated Multi-label Deep Neural Networks CVPR 2024 Towards Certifiably Robust Face Recognition ECCV 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration ICML 2024 Towards Efficient Training and Evaluation of Robust Models against l_0 Bounded Adversarial Perturbations ICML 2024 Towards Efficient Verification of Quantized Neural Networks AAAI 2024 Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks EMNLP 2024 Towards Exact Gradient-based Training on Analog In-memory Computing NeurIPS 2024 Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024 Towards General Neural Surrogate Solvers with Specialized Neural Accelerators ICML 2024 Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation CVPR 2024 Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024 Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024