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)
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering
NAACL 2021
IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English
EACL 2021
IIITT at CASE 2021 Task 1: Leveraging Pretrained Language Models for Multilingual Protest Detection
ACL 2021
IIRC: Incremental Implicitly-Refined Classification
CVPR 2021
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection
SemEval 2021
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task
SemEval 2021
IITP-CUNI@3C: Supervised Approaches for Citation Classification (Task A) and Citation Significance Detection (Task B)
NAACL 2021
Illinois Japanese ↔ English News Translation for WMT 2021
EMNLP 2021
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision
CVPR 2021
Image Change Captioning by Learning From an Auxiliary Task
CVPR 2021
Image De-Raining via Continual Learning
CVPR 2021
Image Synthesis From Layout With Locality-Aware Mask Adaption
ICCV 2021
iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
CVPR 2021
Imitation by Predicting Observations
ICML 2021
Implicit Generative Copulas
NeurIPS 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
NeurIPS 2021
Implicit Regularization in Matrix Sensing via Mirror Descent
NeurIPS 2021
Implicit Regularization in ReLU Networks with the Square Loss
COLT 2021
Implicit Semantic Response Alignment for Partial Domain Adaptation
NeurIPS 2021
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
NeurIPS 2021
Importance Estimation from Multiple Perspectives for Keyphrase Extraction
EMNLP 2021
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning
CoNLL 2021
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications
COLT 2021
Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract)
IJCAI 2021
Impression learning: Online representation learning with synaptic plasticity
NeurIPS 2021