← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4950 directly classified papers

Papers per year

Papers

These Aren’t the Vectors You’re Looking For: A Proof of Quantum Advantage in Compositional Generalization IJCNLP 2025
Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
Language Models Encode the Value of Numbers Linearly COLING 2025
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions AAAI 2025
GeoGuide: Geometric Guidance of Diffusion Models WACV 2025
Generating Visual Explanations from Deep Networks using Implicit Neural Representations WACV 2025
Early Concept Drift Detection via Prediction Uncertainty AAAI 2025
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates IJCAI 2025
RiemStega: Covariance-Based Loss for Print-Proof Transmission of Data in Images WACV 2025
Riemannian-Geometric Fingerprints of Generative Models ICCV 2025
Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement IJCAI 2025
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing ICCV 2025
SPD: Shallow Backdoor Protecting Deep Backdoor Against Backdoor Detection ICCV 2025
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models AAAI 2025
Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings ICCV 2025
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance WACV 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing ICCV 2025
LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs ICCV 2025
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine AAAI 2025