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)
Mitigating Spurious Correlations via Disagreement Probability
NeurIPS 2024
Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization
AAAI 2024
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
EMNLP 2024
MIVC: Multiple Instance Visual Component for Visual-Language Models
WACV 2024
Mixed-Effects Contextual Bandits
AAAI 2024
Mixed Models with Multiple Instance Learning
AISTATS 2024
Mixing classifiers to alleviate the accuracy-robustness trade-off
L4DC 2024
MixRED: A Mix-lingual Relation Extraction Dataset
COLING 2024
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
ICLR 2024
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning
NeurIPS 2024
Mixture of Demonstrations for In-Context Learning
NeurIPS 2024
Mixture of Experts Meets Prompt-Based Continual Learning
NeurIPS 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
NeurIPS 2024
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
AISTATS 2024
Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models
COLING 2024
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
COLING 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
EMNLP 2024
Mixtures of Experts for Audio-Visual Learning
NeurIPS 2024
Mixup-Induced Domain Extrapolation for Domain Generalization
AAAI 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis
COLING 2024
MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures
ACML 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
CVPR 2024
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
AAAI 2024
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets
Interspeech 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
AAAI 2024