Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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
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Papers (including subtopics)
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
ICML 2024
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
EMNLP 2024
FOSI: Hybrid First and Second Order Optimization
ICLR 2024
FouRA: Fourier Low-Rank Adaptation
NeurIPS 2024
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
EMNLP 2024
FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions
CVPR 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
NeurIPS 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
CVPR 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
ICML 2024
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
CVPR 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources
ACL 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning
NeurIPS 2024
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
NeurIPS 2024
GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers
AAAI 2024
Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory
EMNLP 2024
GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation
ACL 2024
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks
AAAI 2024
GenAI Arena: An Open Evaluation Platform for Generative Models
NeurIPS 2024
Generalizable Symbolic Optimizer Learning
ECCV 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width
JMLR 2024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
ACL 2024
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
CVPR 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NeurIPS 2024
General Tail Bounds for Non-Smooth Stochastic Mirror Descent
AISTATS 2024