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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'25
Papers (including subtopics)
Neural Tangent Generalization Attacks
ICML 2021
Neural Temporal Point Processes: A Review
IJCAI 2021
Neural Utility Functions
AAAI 2021
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
ACL 2021
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
ICML 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
EMNLP 2021
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
EMNLP 2021
News Content Completion with Location-Aware Image Selection
AAAI 2021
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces
CVPR 2021
NICT-2 Translation System at WAT-2021: Applying a Pretrained Multilingual Encoder-Decoder Model to Low-resource Language Pairs
ACL 2021
NICT Kyoto Submission for the WMT’21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error Detection
EMNLP 2021
NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task
EMNLP 2021
NLPHut’s Participation at WAT2021
ACL 2021
N-LTP: An Open-source Neural Language Technology Platform for Chinese
EMNLP 2021
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
ACL 2021
NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation
EMNLP 2021
Noether Networks: meta-learning useful conserved quantities
NeurIPS 2021
No Frame Left Behind: Full Video Action Recognition
CVPR 2021
Noise against noise: stochastic label noise helps combat inherent label noise
ICLR 2021
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
AAAI 2021
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection
CVPR 2021
Noisy Student-Teacher Training for Robust Keyword Spotting
Interspeech 2021
Non-Autoregressive Coarse-to-Fine Video Captioning
AAAI 2021
Non-Autoregressive Text Generation with Pre-trained Language Models
EACL 2021
Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling
Interspeech 2021