Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation ICLR 2024 Fixed Pattern Noise Removal for Multi-View Single-Sensor Infrared Camera WACV 2024 Fixed Point Diffusion Models CVPR 2024 Fixed points of nonnegative neural networks JMLR 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024 Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization ICLR 2024 FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning ICLR 2024 FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision NeurIPS 2024 FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets ICLR 2024 Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem ICLR 2024 Flatness-Aware Gradient Descent for Safe Conversational AI NAACL 2024 Flatness-aware Sequential Learning Generates Resilient Backdoors ECCV 2024 Fleet Supervisor Allocation: A Submodular Maximization Approach CoRL 2024 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NeurIPS 2024 FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework AAAI 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024 Flora: Low-Rank Adapters Are Secretly Gradient Compressors ICML 2024 FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents EMNLP 2024 Flow Matching on General Geometries ICLR 2024 Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation ICLR 2024 FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NeurIPS 2024