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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)

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ACL 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring CVPR 2023 Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation EMNLP 2023 wav2vec 2.0 ASR for Cantonese-Speaking Older Adults in a Clinical Setting Interspeech 2023 Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency AAAI 2023 Weakly-Supervised Camouflaged Object Detection with Scribble Annotations AAAI 2023 Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving CVPR 2023 Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping NeurIPS 2023 Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning CVPR 2023 Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic ICLR 2023 Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining EMNLP 2023 Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency CVPR 2023 Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint AAAI 2023 Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor CVPR 2023 Weakly-Supervised Single-View Image Relighting CVPR 2023 Weakly-Supervised Spoken Video Grounding via Semantic Interaction Learning ACL 2023 Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network CVPR 2023 Weak-Shot Object Detection Through Mutual Knowledge Transfer CVPR 2023 WeatherStream: Light Transport Automation of Single Image Deweathering CVPR 2023 Weighted Sampling without Replacement for Deep Top-k Classification ICML 2023 Weighted Von Mises Distribution-based Loss Function for Real-time STFT Phase Reconstruction Using DNN Interspeech 2023 WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning ACL 2023 What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization ACL 2023 What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary ACL 2023