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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
'20
'25

Papers (including subtopics)

Biomedical Image Segmentation via Representative Annotation AAAI 2019 BioReddit: Word Embeddings for User-Generated Biomedical NLP EMNLP 2019 BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization ACL 2019 Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains ACL 2019 BLCU-NLP at COIN-Shared Task1: Stagewise Fine-tuning BERT for Commonsense Inference in Everyday Narrations EMNLP 2019 Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks CVPR 2019 Blind Super-Resolution Kernel Estimation using an Internal-GAN NeurIPS 2019 Blind Super-Resolution With Iterative Kernel Correction CVPR 2019 BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection AAAI 2019 Block Coordinate Regularization by Denoising NeurIPS 2019 Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion NeurIPS 2019 BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars EMNLP 2019 Boosting Dialog Response Generation ACL 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle EMNLP 2019 Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019 Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation CVPR 2019 BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation CVPR 2019 Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning ACL 2019 Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence CVPR 2019 Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling EMNLP 2019 Bridging the Gap between Training and Inference for Neural Machine Translation ACL 2019 BSC Participation in the WMT Translation of Biomedical Abstracts ACL 2019 BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer ACL 2019 BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames CVPR 2019