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)
Utilitarian Algorithm Configuration for Infinite Parameter Spaces
ICLR 2025
UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive Judging
SemEval 2025
UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting
ACL 2025
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
AAAI 2025
UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality
EMNLP 2025
UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping
ICLR 2025
U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration
ICCV 2025
UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing
CVPR 2025
UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection
SemEval 2025
V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy
CVPR 2025
VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning
UAI 2025
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
UAI 2025
Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items
ACL 2025
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
ICCV 2025
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs
NAACL 2025
VAQUUM: Are Vague Quantifiers Grounded in Visual Data?
ACL 2025
Variable Extraction for Model Recovery in Scientific Literature
NAACL 2025
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
AISTATS 2025
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models
CVPR 2025
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
AISTATS 2025
Variational Adversarial Training Towards Policies with Improved Robustness
AISTATS 2025
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction
IJCAI 2025
Variational Offline Multi-agent Skill Discovery
IJCAI 2025
Variational Search Distributions
ICLR 2025
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
ICLR 2025