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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'20
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Papers (including subtopics)
Wandering within a world: Online contextualized few-shot learning
ICLR 2021
Wanderlust: Online Continual Object Detection in the Real World
ICCV 2021
Want To Reduce Labeling Cost? GPT-3 Can Help
EMNLP 2021
Warm Starting CMA-ES for Hyperparameter Optimization
AAAI 2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
ICCV 2021
Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency
ICCV 2021
WARP: Word-level Adversarial ReProgramming
ACL 2021
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction
EACL 2021
Wasserstein Barycenter for Multi-Source Domain Adaptation
CVPR 2021
Wasserstein Contrastive Representation Distillation
CVPR 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
ICML 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
NeurIPS 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
AISTATS 2021
Wasserstein Selective Transfer Learning for Cross-domain Text Mining
EMNLP 2021
Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification
CVPR 2021
wav2vec-C: A Self-Supervised Model for Speech Representation Learning
Interspeech 2021
Waypoint Models for Instruction-Guided Navigation in Continuous Environments
ICCV 2021
WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning
AAAI 2021
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator
ICCV 2021
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations
ICCV 2021
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning
ICCV 2021
Weakly Supervised Action Selection Learning in Video
CVPR 2021
Weakly Supervised Construction of ASR Systems from Massive Video Data
Interspeech 2021
Weakly Supervised Contrastive Learning
ICCV 2021
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
EMNLP 2021