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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'10
'15
'20
'25
Papers (including subtopics)
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?
EMNLP 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
ICML 2024
T-VSL: Text-Guided Visual Sound Source Localization in Mixtures
CVPR 2024
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning
EMNLP 2024
Twice Class Bias Correction for Imbalanced Semi-supervised Learning
AAAI 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
NeurIPS 2024
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
EMNLP 2024
Two Approaches to Diachronic Normalization of Polish Texts
EACL 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
AISTATS 2024
Two fundamental limits for uncertainty quantification in predictive inference
COLT 2024
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
ICML 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors
NAACL 2024
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification
ACL 2024
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
ICLR 2024
Two-stage Semi-supervised Speaker Recognition with Gated Label Learning
IJCAI 2024
Two Tales of Single-Phase Contrastive Hebbian Learning
ICML 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
NeurIPS 2024
Typicalness-Aware Learning for Failure Detection
NeurIPS 2024
Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations
EMNLP 2024
U3DS3: Unsupervised 3D Semantic Scene Segmentation
WACV 2024
UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity
SemEval 2024
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
NeurIPS 2024
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework
ECCV 2024
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
NeurIPS 2024
UDParse @ SIGTYP 2024 Shared Task : Modern Language Models for Historical Languages
EACL 2024