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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

Dense Unsupervised Learning for Video Segmentation NeurIPS 2021 Dependency parsing with structure preserving embeddings EACL 2021 Depth Completion Using Plane-Residual Representation CVPR 2021 Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination AAAI 2021 DER: Dynamically Expandable Representation for Class Incremental Learning CVPR 2021 De-Rendering the World's Revolutionary Artefacts CVPR 2021 Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings ACL 2021 Designing Counterfactual Generators using Deep Model Inversion NeurIPS 2021 Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces IJCAI 2021 Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding EMNLP 2021 Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021 Detecting Anomalous Event Sequences with Temporal Point Processes NeurIPS 2021 Detecting Health Advice in Medical Research Literature EMNLP 2021 Detecting Propaganda Techniques in Memes ACL 2021 Detecting Speaker Personas from Conversational Texts EMNLP 2021 Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery AAAI 2021 Deterministic Mini-batch Sequencing for Training Deep Neural Networks AAAI 2021 Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract) AAAI 2021 Developing Conversational Data and Detection of Conversational Humor in Telugu EMNLP 2021 Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification EMNLP 2021 DG-Font: Deformable Generative Networks for Unsupervised Font Generation CVPR 2021 Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring AAAI 2021 Dialog Router: Automated Dialog Transition via Multi-Task Learning AAAI 2021 DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings EMNLP 2021 Dialogue Response Generation via Contrastive Latent Representation Learning EMNLP 2021