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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Papers (including subtopics)
Semisupervised Neural Proto-Language Reconstruction
ACL 2024
Semi-supervised Open-World Object Detection
AAAI 2024
Semi-Supervised Reward Modeling via Iterative Self-Training
EMNLP 2024
Semi-Supervised Scene Change Detection by Distillation From Feature-Metric Alignment
WACV 2024
Semi-Supervised Semantic Depth Estimation Using Symbiotic Transformer and NearFarMix Augmentation
WACV 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
NeurIPS 2024
Semi-Supervised Spoken Language Glossification
ACL 2024
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting
AAAI 2024
SeMoLi: What Moves Together Belongs Together
CVPR 2024
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
NAACL 2024
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment
WACV 2024
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
AAAI 2024
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
CVPR 2024
Sensemaking of Socially-Mediated Crisis Information
NAACL 2024
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint)
IJCAI 2024
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation
Interspeech 2024
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
COLING 2024
SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis
ACL 2024
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
CVPR 2024
Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction
IJCAI 2024
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
AAAI 2024
Separating common from salient patterns with Contrastive Representation Learning
ICLR 2024
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
ICLR 2024
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
ICLR 2024
SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning
WACV 2024