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
'10
'15
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'25
Papers (including subtopics)
Towards Certificated Model Robustness Against Weight Perturbations
AAAI 2020
Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data
AAAI 2020
Towards Consistent Variational Auto-Encoding (Student Abstract)
AAAI 2020
Towards Context-Aware End-to-End Code-Switching Speech Recognition
Interspeech 2020
Towards Controllable Biases in Language Generation
EMNLP 2020
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation
AAAI 2020
Towards Debiasing Sentence Representations
ACL 2020
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
CVPR 2020
Towards Emotion-aided Multi-modal Dialogue Act Classification
ACL 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
CVPR 2020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
AAAI 2020
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution
CVPR 2020
Towards Good Practice for CNN-Based Monocular Depth Estimation
WACV 2020
Towards Hands-Free Visual Dialog Interactive Recommendation
AAAI 2020
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training
CVPR 2020
Towards Learning Structure via Consensus for Face Segmentation and Parsing
CVPR 2020
Towards Making the Most of BERT in Neural Machine Translation
AAAI 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
NeurIPS 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
NeurIPS 2020
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation
ACL 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search
AAAI 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
AAAI 2020
Towards Reversal-Based Textual Data Augmentation for NLI Problems with Opposable Classes
ACL 2020
Towards Robust Image Classification Using Sequential Attention Models
CVPR 2020
Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset
AAAI 2020