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 Spanish-Aymara Machine Translation Using English-Aymara Lexicon
ACL 2023
Few-shot Unified Question Answering: Tuning Models or Prompts?
EMNLP 2023
Few-Shot Video Classification via Representation Fusion and Promotion Learning
ICCV 2023
FFAEval: Evaluating Dialogue System via Free-For-All Ranking
EMNLP 2023
F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives
ICCV 2023
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification
WACV 2023
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
NeurIPS 2023
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
EMNLP 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
ACL 2023
Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases
ACL 2023
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
ICML 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
NeurIPS 2023
FII_Better at SemEval-2023 Task 2: MultiCoNER II Multilingual Complex Named Entity Recognition
SemEval 2023
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
CVPR 2023
Find-2-Find: Multitask Learning for Anaphora Resolution and Object Localization
EMNLP 2023
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
AAAI 2023
Finding Actual Descent Directions for Adversarial Training
ICLR 2023
Finding Authentic Counterhate Arguments: A Case Study with Public Figures
EMNLP 2023
Finding Geometric Models by Clustering in the Consensus Space
CVPR 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
NeurIPS 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning
AISTATS 2023
Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages
ACL 2023
Findings of the SIGTYP 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages
EACL 2023
Finding Support Examples for In-Context Learning
EMNLP 2023
Finding the Pillars of Strength for Multi-Head Attention
ACL 2023