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)

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks AAAI 2024 Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification AAAI 2024 Expressive Losses for Verified Robustness via Convex Combinations ICLR 2024 Extending Context Window of Large Language Models from a Distributional Perspective EMNLP 2024 Extending Context Window of Large Language Models via Semantic Compression ACL 2024 F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis AAAI 2024 Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024 FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning EMNLP 2024 FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model EMNLP 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NeurIPS 2024 Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NeurIPS 2024 Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward IJCAI 2024 Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference NeurIPS 2024 Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level NeurIPS 2024 Faster Randomized Methods for Orthogonality Constrained Problems JMLR 2024 Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024 FasterVD: On Acceleration of Video Diffusion Models IJCAI 2024 Faster Vocoder: a multi threading approach to achieve low latency during TTS Inference Interspeech 2024 FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection ACL 2024 Fast Forwarding Low-Rank Training EMNLP 2024 Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement AAAI 2024 Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024 Fast ODE-based Sampling for Diffusion Models in Around 5 Steps CVPR 2024 Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization ACL 2024 FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices With a Simple Super-Resolution Pipeline WACV 2024