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
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26
18
20
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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)
Hyperparameter Selection for Imitation Learning
ICML 2021
Hypothesis Disparity Regularized Mutual Information Maximization
AAAI 2021
i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions
RSS 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
AAAI 2021
IA-GM: A Deep Bidirectional Learning Method for Graph Matching
AAAI 2021
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction
SemEval 2021
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks
AAAI 2021
IBM MNLP IE at CASE 2021 Task 2: NLI Reranking for Zero-Shot Text Classification
ACL 2021
ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification
ICCV 2021
ICL’s Submission to the WMT21 Critical Error Detection Shared Task
EMNLP 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
NeurIPS 2021
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
NeurIPS 2021
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
NeurIPS 2021
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
NeurIPS 2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community
EMNLP 2021
Identifying Hijacked Reviews
ACL 2021
Identifying Named Entities as they are Typed
EACL 2021
Identifying the Importance of Content Overlap for Better Cross-lingual Embedding Mappings
EMNLP 2021
Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction
WACV 2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
ICCV 2021
IDOL: Inertial Deep Orientation-Estimation and Localization
AAAI 2021
ID-Reveal: Identity-Aware DeepFake Video Detection
ICCV 2021
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
ICLR 2021
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
EMNLP 2021
IFDDS: An Anti-fraud Outbound Robot
AAAI 2021