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)
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only
EMNLP 2020
Detecting Human-Object Interactions via Functional Generalization
AAAI 2020
Detecting Objectifying Language in Online Professor Reviews
EMNLP 2020
Detecting Out-of-Distribution Examples with Gram Matrices
ICML 2020
Detecting Perceived Emotions in Hurricane Disasters
ACL 2020
Detecting Semantic Anomalies
AAAI 2020
Detecting the Starting Frame of Actions in Video
WACV 2020
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages
COLING 2020
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
EMNLP 2020
Detection as Regression: Certified Object Detection with Median Smoothing
NeurIPS 2020
Detection of Mental Health from Reddit via Deep Contextualized Representations
EMNLP 2020
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning
EMNLP 2020
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract)
AAAI 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders
AISTATS 2020
Deterministic Value-Policy Gradients
AAAI 2020
Developing a Curated Topic Model for COVID-19 Medical Research Literature
EMNLP 2020
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies
AAAI 2020
Development of a Speech Quality Database Under Uncontrolled Conditions
Interspeech 2020
Development of Multi-level Linguistic Alignment in Child-adult Conversations
EMNLP 2020
Development of Multilingual ASR Using GlobalPhone for Less-Resourced Languages: The Case of Ethiopian Languages
Interspeech 2020
DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation
WACV 2020
Dialect Identification under Domain Shift: Experiments with Discriminating Romanian and Moldavian
COLING 2020
Dialog State Tracking with Reinforced Data Augmentation
AAAI 2020
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels
ACL 2020
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
EMNLP 2020