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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

38
179
3,018
5,737
'10
'15
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'25

Papers (including subtopics)

A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract) AAAI 2021 ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021 Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021 Are BERTs Sensitive to Native Interference in L2 Production? EMNLP 2021 Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract) AAAI 2021 A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021 Are Transformers more robust than CNNs? NeurIPS 2021 argmax centroid NeurIPS 2021 Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph EMNLP 2021 ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization EMNLP 2021 ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021 Artificial Dummies for Urban Dataset Augmentation AAAI 2021 Artistic Style Transfer with Internal-external Learning and Contrastive Learning NeurIPS 2021 A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems EMNLP 2021 A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021 A Semantic-based Method for Unsupervised Commonsense Question Answering ACL 2021 A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading EMNLP 2021 A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021 A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations EMNLP 2021 Asking It All: Generating Contextualized Questions for any Semantic Role EMNLP 2021 A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis AAAI 2021 Aspect-Controllable Opinion Summarization EMNLP 2021 Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference EMNLP 2021 AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models EMNLP 2021 A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting AAAI 2021