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)

Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024 Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner CVPR 2024 Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NeurIPS 2024 Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection ICLR 2024 Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024 Towards Scalable and Stable Parallelization of Nonlinear RNNs NeurIPS 2024 Towards the Dynamics of a DNN Learning Symbolic Interactions NeurIPS 2024 Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024 Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis EMNLP 2024 TOWER: Tree Organized Weighting for Evaluating Complex Instructions EMNLP 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Training Compute-Optimal Protein Language Models NeurIPS 2024 Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract) COLT 2024 Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis NeurIPS 2024 Transcendence: Generative Models Can Outperform The Experts That Train Them NeurIPS 2024 Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection CVPR 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Transformer-Based Selective Super-resolution for Efficient Image Refinement AAAI 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers NeurIPS 2024 Transformers Represent Belief State Geometry in their Residual Stream NeurIPS 2024 TroL: Traversal of Layers for Large Language and Vision Models EMNLP 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 TuringQ: Benchmarking AI Comprehension in Theory of Computation EMNLP 2024 Turn Waste into Worth: Rectifying Top-k Router of MoE EMNLP 2024