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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Papers (including subtopics)
Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models
Interspeech 2025
Tongue-Tied: Breaking LLMs Safety Through New Language Learning
NAACL 2025
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
EMNLP 2025
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
ACL 2025
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
ACL 2025
Top-n𝜎: Eliminating Noise in Logit Space for Robust Token Sampling of LLM
ACL 2025
Topological Signatures of Adversaries in Multimodal Alignments
ICML 2025
Top-one Recommendation with Anonymous User Behaviors (Student Abstract)
AAAI 2025
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
ICCV 2025
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
AAAI 2025
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering
COLING 2025
To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging
EMNLP 2025
To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
ICLR 2025
TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs
IJCAI 2025
TOTP: Transferable Online Pedestrian Trajectory Prediction with Temporal-Adaptive Mamba Latent Diffusion
ICCV 2025
Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction
CVPR 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
COLING 2025
TounsiBench: Benchmarking Large Language Models for Tunisian Arabic
EMNLP 2025
Toward Causal Generative Modeling: From Representation to Generation
AAAI 2025
Toward Efficient Data-Free Unlearning
AAAI 2025
Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models
EMNLP 2025
Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers
ICLR 2025
Toward Falsifying Causal Graphs Using a Permutation-Based Test
AAAI 2025
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
ICLR 2025
Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation
AAAI 2025