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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)

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation CVPR 2023 Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation CVPR 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting CVPR 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Robustness in Multimodal Learning under Train-Test Modality Mismatch ICML 2023 Robustness of Learning from Task Instructions ACL 2023 Robustness of Multi-Source MT to Transcription Errors ACL 2023 Robustness of Named-Entity Replacements for In-Context Learning EMNLP 2023 Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation AAAI 2023 Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions AAAI 2023 Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism Interspeech 2023 Robust Temporal Smoothness in Multi-Task Learning AAAI 2023 RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations ACL 2023 Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention EMNLP 2023 RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval CVPR 2023 Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word–Definition Alignment EMNLP 2023 Rotation and Translation Invariant Representation Learning with Implicit Neural Representations ICML 2023 Rotation-Invariant Transformer for Point Cloud Matching CVPR 2023 RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation ICCV 2023 RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking AAAI 2023 RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training EMNLP 2023 RT-1: Robotics Transformer for Real-World Control at Scale RSS 2023 Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture IJCAI 2023 Run Like a Girl! Sport-Related Gender Bias in Language and Vision ACL 2023