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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'15
'20
'25
Papers (including subtopics)
Improving Multilingual Text-to-Speech with Mixture-of-Language-Experts and Accent Disentanglement
Interspeech 2024
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks
EACL 2024
Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module
COLING 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
AAAI 2024
Improving Neural ODE Training with Temporal Adaptive Batch Normalization
NeurIPS 2024
Improving Noise Robustness in Self-supervised Pre-trained Model for Speaker Verification
Interspeech 2024
Improving Noisy Student Training for Low-resource Languages in End-to-End ASR Using CycleGAN and Inter-domain Losses
COLING 2024
Improving Offline RL by Blending Heuristics
ICLR 2024
Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge
AAAI 2024
Improving Open-Set Semi-Supervised Learning With Self-Supervision
WACV 2024
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
IJCAI 2024
Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization
COLING 2024
Improving Plasticity in Online Continual Learning via Collaborative Learning
CVPR 2024
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
IJCAI 2024
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
AAAI 2024
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
COLING 2024
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
ACL 2024
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
EMNLP 2024
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective
NeurIPS 2024
Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training
COLING 2024
Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning
COLING 2024
Improving Self-supervised Pre-training using Accent-Specific Codebooks
Interspeech 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
NeurIPS 2024
Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text
ACL 2024
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
CVPR 2024