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)

TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models ICCV 2025 T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data ICLR 2025 TLDR: Token-Level Detective Reward Model for Large Vision Language Models ICLR 2025 TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization ACL 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 TLUE: A Tibetan Language Understanding Evaluation Benchmark EMNLP 2025 T-MAD: Target-driven Multimodal Alignment for Stance Detection EMNLP 2025 TMATH A Dataset for Evaluating Large Language Models in Generating Educational Hints for Math Word Problems COLING 2025 T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation AAAI 2025 TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings AAAI 2025 To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation WACV 2025 TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG EMNLP 2025 To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems ACL 2025 To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization ACL 2025 Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation AAAI 2025 Tokenization is Sensitive to Language Variation ACL 2025 Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025 Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models NAACL 2025 Token-Level Metrics for Detecting Incorrect Gold Annotations in Named Entity Recognition EMNLP 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification AAAI 2025 Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification AAAI 2025 Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation EMNLP 2025 To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation COLING 2025 To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025 To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning AAAI 2025