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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
'20
'25

Papers (including subtopics)

Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts. EMNLP 2021 Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective ICCV 2021 Bayesian Distributional Policy Gradients AAAI 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021 BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation CVPR 2021 BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021 Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021 Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021 Benchmarking Representation Learning for Natural World Image Collections CVPR 2021 Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference ACL 2021 Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement ICML 2021 “Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification? EMNLP 2021 BERT & Family Eat Word Salad: Experiments with Text Understanding AAAI 2021 BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology EMNLP 2021 BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? ACL 2021 BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets EMNLP 2021 Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning Interspeech 2021 Better Fine-Tuning by Reducing Representational Collapse ICLR 2021 Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection CVPR 2021 Beyond Image to Depth: Improving Depth Prediction Using Echoes CVPR 2021 Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021 Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021 Beyond Sentence-Level End-to-End Speech Translation: Context Helps ACL 2021 Beyond Static Features for Temporally Consistent 3D Human Pose and Shape From a Video CVPR 2021 BFClass: A Backdoor-free Text Classification Framework EMNLP 2021