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)
Investigating Low-resource Machine Translation for English-to-Tamil
AACL 2020
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
EMNLP 2020
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification
Interspeech 2020
Investigating Self-Supervised Pre-Training for End-to-End Speech Translation
Interspeech 2020
Investigating the Visual Lombard Effect with Gabor Based Features
Interspeech 2020
Investigating Transferability in Pretrained Language Models
EMNLP 2020
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models
AAAI 2020
IPO: Interior-Point Policy Optimization under Constraints
AAAI 2020
IRLab_DAIICT at SemEval-2020 Task 9: Machine Learning and Deep Learning Methods for Sentiment Analysis of Code-Mixed Tweets
SemEval 2020
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
IJCAI 2020
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention
EMNLP 2020
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
AAAI 2020
Is Local SGD Better than Minibatch SGD?
ICML 2020
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning
EMNLP 2020
IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task
EMNLP 2020
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings
EMNLP 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
ACL 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
CVPR 2020
Item Response Theory for Efficient Human Evaluation of Chatbots
EMNLP 2020
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty
UAI 2020
Iterative Data Programming for Expanding Text Classification Corpora
AAAI 2020
Iterative Delegations in Liquid Democracy with Restricted Preferences
AAAI 2020
Iterative Edit-Based Unsupervised Sentence Simplification
ACL 2020
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness
EMNLP 2020
Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract)
AAAI 2020