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)
Zero-Shot Action Generalization with Limited Observations
AISTATS 2025
Zero-Shot ATC Coding with Large Language Models for Clinical Assessments
NAACL 2025
Zero_Shot at SemEval-2025 Task 11: Fine-Tuning Deep Learning and Transformer-based Models for Emotion Detection in Multi-label Classification, Intensity Estimation, and Cross-lingual Adaptation
SemEval 2025
Zero-Shot Belief: A Hard Problem for LLMs
EMNLP 2025
Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling
CVPR 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
WACV 2025
Zero-Shot Compositional Video Learning with Coding Rate Reduction
ICCV 2025
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
AAAI 2025
Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation
EMNLP 2025
Zero-Shot Conversational Stance Detection: Dataset and Approaches
ACL 2025
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs
EMNLP 2025
Zero-Shot Entailment Learning for Ontology-Based Biomedical Annotation Without Explicit Mentions
COLING 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric
IJCAI 2025
Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
EMNLP 2025
Zero-shot forecasting of chaotic systems
ICLR 2025
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
IJCAI 2025
Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels
IJCNLP 2025
Zero-Shot Image Captioning with Multi-type Entity Representations
AAAI 2025
Zero-shot Inexact CAD Model Alignment from a Single Image
ICCV 2025
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models
NAACL 2025
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
AAAI 2025
Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models
AAAI 2025
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
IJCAI 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
ICLR 2025
Zero-Shot Mono-to-Binaural Speech Synthesis
Interspeech 2025