Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
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Papers (including subtopics)
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
EMNLP 2020
Character Mapping and Ad-hoc Adaptation: Edinburgh’s IWSLT 2020 Open Domain Translation System
ACL 2020
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization
EMNLP 2020
Chunk-based Chinese Spelling Check with Global Optimization
EMNLP 2020
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
AAAI 2020
CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models
EMNLP 2020
CircleGAN: Generative Adversarial Learning across Spherical Circles
NeurIPS 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
CVPR 2020
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
EMNLP 2020
CiteQA@CLSciSumm 2020
EMNLP 2020
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
IJCAI 2020
ClarQ: A large-scale and diverse dataset for Clarification Question Generation
ACL 2020
Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax
IJCAI 2020
Class-incremental Learning via Deep Model Consolidation
WACV 2020
Clean-Label Backdoor Attacks on Video Recognition Models
CVPR 2020
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval
EMNLP 2020
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
CVPR 2020
Cloth in the Wind: A Case Study of Physical Measurement Through Simulation
CVPR 2020
Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction
CoNLL 2020
ClusterFit: Improving Generalization of Visual Representations
CVPR 2020
CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion
ACL 2020
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
ICLR 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
UAI 2020
CNN-Generated Images Are Surprisingly Easy to Spot... for Now
CVPR 2020
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
NeurIPS 2020