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)
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science
EMNLP 2024
Membership Inference Attacks Against Time-Series Models
ACML 2024
Membership Inference Attack Using Self Influence Functions
WACV 2024
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
EMNLP 2024
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention
ACL 2024
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
ACL 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
ACL 2024
MeMo: Meaningful, Modular Controllers via Noise Injection
NeurIPS 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization
ICLR 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
AAAI 2024
MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models
COLING 2024
MentalHelp: A Multi-Task Dataset for Mental Health in Social Media
COLING 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner
JMLR 2024
MEnTr@LT-EDI-2024: Multilingual Ensemble of Transformer Models for Homophobia/Transphobia Detection
EACL 2024
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information
AAAI 2024
MERA: A Comprehensive LLM Evaluation in Russian
ACL 2024
Mercury: A Code Efficiency Benchmark for Code Large Language Models
NeurIPS 2024
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
ICLR 2024
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities
AAAI 2024
Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges
COLING 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
AAAI 2024
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
ICLR 2024
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract)
AAAI 2024
Metadata Enhancement Using Large Language Models
ACL 2024
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
NeurIPS 2024