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 Pervasive Modality Absence Through Multimodal Generalization and Refinement
AAAI 2025
Mitigating Shortcut Learning via Smart Data Augmentation based on Large Language Model
COLING 2025
Mitigating Shortcut Learning with InterpoLated Learning
ACL 2025
Mitigating Spurious Correlations in Zero-Shot Multimodal Models
ICLR 2025
Mitigating Spurious Correlations via Counterfactual Contrastive Learning
EMNLP 2025
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
CVPR 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
EMNLP 2025
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
ICLR 2025
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
WACV 2025
Mixed-Feature Logistic Regression Robust to Distribution Shifts
AISTATS 2025
MixerMDM: Learnable Composition of Human Motion Diffusion Models
CVPR 2025
Mixing Inference-time Experts for Enhancing LLM Reasoning
EMNLP 2025
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection
AAAI 2025
Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning
EMNLP 2025
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
ACL 2025
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
AAAI 2025
Mixture of Experts Based Multi-Task Supervise Learning from Crowds
AAAI 2025
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection
ICCV 2025
Mixture of In-Context Prompters for Tabular PFNs
ICLR 2025
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
EMNLP 2025
Mixture of LoRA Experts for Continual Information Extraction with LLMs
EMNLP 2025
Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition
Interspeech 2025
Mixture of Online and Offline Experts for Non-Stationary Time Series
AAAI 2025
Mixture of Ordered Scoring Experts for Cross-prompt Essay Trait Scoring
ACL 2025