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)
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
ICLR 2024
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra
ACL 2024
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria
JMLR 2024
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
ACL 2024
Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting
Interspeech 2024
BlockBoost: Scalable and Efficient Blocking through Boosting
AISTATS 2024
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
IJCAI 2024
BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models
COLING 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness
AISTATS 2024
BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
CVPR 2024
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
AAAI 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
NeurIPS 2024
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
ICLR 2024
BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?
EMNLP 2024
Boosted Conformal Prediction Intervals
NeurIPS 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
CVPR 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
AAAI 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation
CVPR 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
NeurIPS 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
CVPR 2024
Boosting Cross-Corpus Speech Emotion Recognition using CycleGAN with Contrastive Learning
Interspeech 2024
Boosting Few-Shot Learning via Attentive Feature Regularization
AAAI 2024
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
NeurIPS 2024
Boosting Graph Anomaly Detection with Adaptive Message Passing
ICLR 2024
Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
CVPR 2024