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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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'15
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'25

Papers (including subtopics)

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks NeurIPS 2021 Camouflaged Object Segmentation With Distraction Mining CVPR 2021 Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks? CVPR 2021 Can contrastive learning avoid shortcut solutions? NeurIPS 2021 Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? ACL 2021 Canonical Capsules: Self-Supervised Capsules in Canonical Pose NeurIPS 2021 CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild CVPR 2021 Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap EMNLP 2021 Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner? ICCV 2021 Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021 Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN EMNLP 2021 Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability ACL 2021 Can We Characterize Tasks Without Labels or Features? CVPR 2021 Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks NeurIPS 2021 Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks NeurIPS 2021 Caption Enriched Samples for Improving Hateful Memes Detection EMNLP 2021 Capturing document context inside sentence-level neural machine translation models with self-training EMNLP 2021 Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation ACL 2021 Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization EMNLP 2021 CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NeurIPS 2021 CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade EMNLP 2021 Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences AAAI 2021 Casting the Same Sentiment Classification Problem EMNLP 2021 CASTing Your Model: Learning To Localize Improves Self-Supervised Representations CVPR 2021 CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 2021