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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
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Papers (including subtopics)

Balancing via Generation for Multi-Class Text Classification Improvement EMNLP 2020 BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models EMNLP 2020 BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation CVPR 2020 BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement AAAI 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Bayesian Attention Modules NeurIPS 2020 Bayesian Deep Learning and a Probabilistic Perspective of Generalization NeurIPS 2020 Bayesian Image Classification with Deep Convolutional Gaussian Processes AISTATS 2020 Bayesian Methods for Semi-supervised Text Annotation COLING 2020 BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition CVPR 2020 BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning CVPR 2020 BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image CVPR 2020 Being Bayesian about Categorical Probability ICML 2020 Being neighbourly: Neural metaphor identification in discourse ACL 2020 Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems CVPR 2020 Be More with Less: Hypergraph Attention Networks for Inductive Text Classification EMNLP 2020 Benchmarking Deep Learning Interpretability in Time Series Predictions NeurIPS 2020 Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020 Benefits of Intermediate Annotations in Reading Comprehension ACL 2020 Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance AAAI 2020 Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization AAAI 2020 BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task EMNLP 2020 BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance EMNLP 2020 BERT for Monolingual and Cross-Lingual Reverse Dictionary EMNLP 2020 BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models EMNLP 2020