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
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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 in Text Classification Using Latent Space Geometry
ACL 2026
Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
UAI 2026
Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits?
UAI 2026
MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
WACV 2026
MMhops-R1: Multimodal Multi-hop Reasoning
AAAI 2026
mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing
AAAI 2026
MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation
AAAI 2026
MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
WACV 2026
Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
AAAI 2026
Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification
AAAI 2026
Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift
UAI 2026
Model-Based Reinforcement Learning under Random Observation Delays
L4DC 2026
Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives
ACL 2026
Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem
ACL 2026
Modeling Turn-Taking with Semantically Informed Gestures
EACL 2026
Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
UAI 2026
ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation
ACL 2026
Modulating Multi-Label Tendency in Zero-Shot LLM Coding: The Effect of Output Structure on CDSS Feedback Analysis
EACL 2026
Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition
AAAI 2026
ModusPonens at SemEval-2026 Task 11: Breaking the Plausibility Trap in LLMs via Conflict-Aware Ensembling
SemEval 2026
MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction
AAAI 2026
MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm
AAAI 2026
MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning
AAAI 2026
MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning
AAAI 2026
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
WACV 2026