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)

Motivating Next-Gen Accelerators with Flexible N:M Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches ACL 2026 MPK: A Compiler and Runtime for Mega-Kernelizing Tensor Programs OSDI 2026 MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering CVPR 2026 Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex CVPR 2026 Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model CVPR 2026 NAMI: Efficient Image Generation via Bridged Progressive Rectified Flow Transformers CVPR 2026 Native Hybrid Attention for Efficient Sequence Modeling ACL 2026 Nested Subspace Learning with Flags JMLR 2026 Neural Differentiation in Deep Networks: A Theoretical Framework for Expressivity and Representational Diversity CVPR 2026 Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations JMLR 2026 Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation ACL 2026 NTK-Guided Implicit Neural Teaching CVPR 2026 NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices CVPR 2026 OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs ACL 2026 Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models ACL 2026 ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling WACV 2026 One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026 One Layer's Trash is Another Layer's Treasure: Adaptive Layer-wise Visual Token Selection in LVLMs CVPR 2026 On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks L4DC 2026 On the Convergence of Self-Improving Online LLM Alignment UAI 2026 On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference UAI 2026 On the implicit regularization of Langevin dynamics with projected noise COLT 2026 On the Role of Temporal Granularity in the Robustness of Spiking Neural Networks CVPR 2026 On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials COLT 2026 Optimal Approximation and Generalization Errors for Deep Convolutional Neural Networks JMLR 2026