Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'25
Papers (including subtopics)
TicTac: Time-aware Supervised Fine-tuning for Automatic Text Dating
ACL 2025
Tighter Clusters, Safer Code? Improving Vulnerability Detection with Enhanced Contrastive Loss
NAACL 2025
Tighter Confidence Bounds for Sequential Kernel Regression
AISTATS 2025
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
ICCV 2025
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
AAAI 2025
TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations
WACV 2025
TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging
ICCV 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
AAAI 2025
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
IJCAI 2025
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation
AAAI 2025
Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation
EMNLP 2025
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation
ACL 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
ICLR 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
ACL 2025
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
ICML 2025
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
ICLR 2025
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
ICLR 2025
Time-to-Event Pretraining for 3D Medical Imaging
ICLR 2025
Time-varying Gaussian Process Bandits with Unknown Prior
AISTATS 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
AAAI 2025
TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
EMNLP 2025
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
AAAI 2025
TIPS: Text-Image Pretraining with Spatial awareness
ICLR 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
ICLR 2025