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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)

Bootstrapped Meta-Learning ICLR 2022 Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings EMNLP 2022 Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification EMNLP 2022 Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding CVPR 2022 Bounded Adversarial Attack on Deep Content Features CVPR 2022 BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine Translation ACL 2022 BpHigh@TamilNLP-ACL2022: Effects of Data Augmentation on Indic-Transformer based classifier for Abusive Comments Detection in Tamil ACL 2022 BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning CVPR 2022 Breaking Bad: A Dataset for Geometric Fracture and Reassembly NeurIPS 2022 Breaking Down Multilingual Machine Translation ACL 2022 Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor NeurIPS 2022 Bridging Fairness and Environmental Sustainability in Natural Language Processing EMNLP 2022 Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging ACL 2022 Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract) AAAI 2022 Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection NeurIPS 2022 Bridging the Gap between Recognition-level Pre-training and Commonsensical Vision-language Tasks ACL 2022 Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets NeurIPS 2022 Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning NeurIPS 2022 Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NeurIPS 2022 Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech AAAI 2022 Bridging Video-Text Retrieval With Multiple Choice Questions CVPR 2022 Building an Ensemble of Transformer Models for Arabic Dialect Classification and Sentiment Analysis EMNLP 2022 Building Goal-Oriented Dialogue Systems with Situated Visual Context AAAI 2022 Building Robust Ensembles via Margin Boosting ICML 2022 Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps ICLR 2022