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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'25
Papers (including subtopics)
Geo-Spatially Informed Models for Geocoding Unstructured Addresses
COLING 2025
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
ICLR 2025
GER-LLM: Efficient and Effective Geospatial Entity Resolution with Large Language Model
EMNLP 2025
GermDetect: Verb Placement Error Detection Datasets for Learners of Germanic Languages
ACL 2025
GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework
IJCAI 2025
Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data
NAACL 2025
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
CVPR 2025
GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation
ICLR 2025
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks
CVPR 2025
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
AAAI 2025
Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining
NAACL 2025
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
ACL 2025
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
ICLR 2025
GigaEmbeddings — Efficient Russian Language Embedding Model
ACL 2025
GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement
ACL 2025
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints
SemEval 2025
Girma@DravidianLangTech 2025: Detecting AI Generated Product Reviews
NAACL 2025
Giving Cars Eyes: Using Computer Vision to Prevent Road Traffic Accidents in Nigeria
AAAI 2025
GLEAM: Enhanced Transferable Adversarial Attacks for Vision-Language Pre-training Models via Global-Local Transformations
ICCV 2025
GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven
CVPR 2025
Glider: Global and Local Instruction-Driven Expert Router
EMNLP 2025
GLiNER2: Schema-Driven Multi-Task Learning for Structured Information Extraction
EMNLP 2025
GLiREL - Generalist Model for Zero-Shot Relation Extraction
NAACL 2025
GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification
WACV 2025
Global Eye: Breaking the “Fixed Thinking Pattern” during the Instruction Expansion Process
ACL 2025