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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)

CoPur: Certifiably Robust Collaborative Inference via Feature Purification NeurIPS 2022 CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation EMNLP 2022 Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again IJCAI 2022 Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022 Correlation Field for Boosting 3D Object Detection in Structured Scenes AAAI 2022 Correlation Verification for Image Retrieval CVPR 2022 CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts EMNLP 2022 Co-Segmentation Aided Two-Stream Architecture for Video Captioning WACV 2022 COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022 Cost Ensemble with Gradient Selecting for GANs IJCAI 2022 Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics NeurIPS 2022 CoToHiLi at LSCDiscovery: the Role of Linguistic Features in Predicting Semantic Change ACL 2022 Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS 2022 Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues EMNLP 2022 Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media NeurIPS 2022 Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario EMNLP 2022 CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation NeurIPS 2022 COVID-19 detection based on respiratory sensing from speech Interspeech 2022 COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies AAAI 2022 “Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds EMNLP 2022 C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ICLR 2022 CPL: Counterfactual Prompt Learning for Vision and Language Models EMNLP 2022 CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition AAAI 2022 CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation ACL 2022 Crafting Better Contrastive Views for Siamese Representation Learning CVPR 2022