Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models ACL 2025 Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo ICLR 2025 STEP-DETR: Advancing DETR-based Semi-Supervised Object Detection with Super Teacher and Pseudo-Label Guided Text Queries ICCV 2025 STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training CVPR 2025 StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models EMNLP 2025 Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning EMNLP 2025 Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models EMNLP 2025 Stepwise Informativeness Search for Improving LLM Reasoning EMNLP 2025 Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models ACL 2025 Stepwise Reasoning Disruption Attack of LLMs ACL 2025 Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos CVPR 2025 STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models CVPR 2025 S*: Test Time Scaling for Code Generation EMNLP 2025 ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data AAAI 2025 ST-GCond: Self-supervised and Transferable Graph Dataset Condensation ICLR 2025 Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework EMNLP 2025 STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification CVPR 2025 Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos AAAI 2025 STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs AAAI 2025 STLight: A Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal Joint Processing WACV 2025 Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem AISTATS 2025 Stochastic Bandits Robust to Adversarial Attacks ICLR 2025 Stochastic Deep Restoration Priors for Imaging Inverse Problems ICML 2025 Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior UAI 2025 Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025