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)
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
NAACL 2024
Few-shot Learner Parameterization by Diffusion Time-steps
CVPR 2024
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
AAAI 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
AAAI 2024
Few-shot Named Entity Recognition via Superposition Concept Discrimination
COLING 2024
Few-Shot Neural Radiance Fields under Unconstrained Illumination
AAAI 2024
Few-Shot Object Detection with Foundation Models
CVPR 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
AAAI 2024
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
EMNLP 2024
Few-shot Question Generation for Reading Comprehension
ACL 2024
Few-Shot Relation Extraction with Hybrid Visual Evidence
COLING 2024
Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning
COLING 2024
Few-Shot Shape Recognition by Learning Deep Shape-Aware Features
WACV 2024
Few-Shot Task Learning through Inverse Generative Modeling
NeurIPS 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
ACL 2024
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
ICML 2024
Few-TK: A Dataset for Few-shot Scientific Typed Keyphrase Recognition
NAACL 2024
FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
NeurIPS 2024
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models
CVPR 2024
FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions
AAAI 2024
FG-Net: Facial Action Unit Detection With Generalizable Pyramidal Features
WACV 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning
NeurIPS 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
EMNLP 2024
Filtered Direct Preference Optimization
EMNLP 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models
AISTATS 2024