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)
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NeurIPS 2024
Meta-Evaluation of Sentence Simplification Metrics
COLING 2024
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
EMNLP 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
IJCAI 2024
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
WACV 2024
Meta Learning in Bandits within shared affine Subspaces
AISTATS 2024
Meta-Learning Priors Using Unrolled Proximal Networks
ICLR 2024
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration
EMNLP 2024
Metaphor Detection with Context Enhancement and Curriculum Learning
NAACL 2024
Metaphors in Online Religious Communication: A Detailed Dataset and Cross-Genre Metaphor Detection
COLING 2024
MetaReflection: Learning Instructions for Language Agents using Past Reflections
EMNLP 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
AAAI 2024
MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
ACL 2024
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
NeurIPS 2024
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
ICLR 2024
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
NeurIPS 2024
Metric Learning from Limited Pairwise Preference Comparisons
UAI 2024
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP
EMNLP 2024
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task
EMNLP 2024
mForms : Multimodal Form Filling with Question Answering
COLING 2024
MFOS: Model-Free & One-Shot Object Pose Estimation
AAAI 2024
MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation
EMNLP 2024
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
NeurIPS 2024
MHGRL: An Effective Representation Learning Model for Electronic Health Records
COLING 2024
mHuBERT-147: A Compact Multilingual HuBERT Model
Interspeech 2024