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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
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'25

Papers (including subtopics)

Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing EMNLP 2020 Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection CVPR 2020 Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020 Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation AAAI 2020 Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation EMNLP 2020 Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data EMNLP 2020 Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors AAAI 2020 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020 C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation CVPR 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Calibrating CNNs for Lifelong Learning NeurIPS 2020 Calorie Estimation in a Real-World Recipe Service AAAI 2020 Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning CVPR 2020 Can Automatic Post-Editing Improve NMT? EMNLP 2020 Cancer Registry Information Extraction via Transfer Learning EMNLP 2020 Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020 Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! AAAI 2020 Can gradient clipping mitigate label noise? ICLR 2020 Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer ACL 2020 Can Monolingual Pretrained Models Help Cross-Lingual Classification? AACL 2020 Can Neural Networks Automatically Score Essay Traits? ACL 2020 Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning? CVPR 2020 Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills ACL 2020 CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language WACV 2020 Capturing Greater Context for Question Generation AAAI 2020