Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation
IJCAI 2023
Indescribable Multi-Modal Spatial Evaluator
CVPR 2023
Indicative Summarization of Long Discussions
EMNLP 2023
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs
WACV 2023
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
WACV 2023
Indirectly Supervised Natural Language Processing
ACL 2023
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
ICLR 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
L4DC 2023
Individually Fair Learning with One-Sided Feedback
ICML 2023
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
ACL 2023
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
WACV 2023
Inducing Neural Collapse in Deep Long-tailed Learning
AISTATS 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
AISTATS 2023
Inequality phenomenon in l_∞-adversarial training, and its unrealized threats
ICLR 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis
CVPR 2023
Influence Diagnostics under Self-concordance
AISTATS 2023
Influence Scores at Scale for Efficient Language Data Sampling
EMNLP 2023
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
NeurIPS 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
EMNLP 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
AAAI 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
ICML 2023
InfoNCE Loss Provably Learns Cluster-Preserving Representations
COLT 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
NeurIPS 2023
Information-Directed Selection for Top-Two Algorithms
COLT 2023