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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)

Unsupervised Lexical Simplification with Context Augmentation EMNLP 2023 Unsupervised Melody-to-Lyrics Generation ACL 2023 Unsupervised Object Localization: Observing the Background To Discover Objects CVPR 2023 Unsupervised Open-domain Keyphrase Generation ACL 2023 Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera NeurIPS 2023 Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation NeurIPS 2023 Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023 Unsupervised Selective Rationalization with Noise Injection ACL 2023 Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations ICLR 2023 Unsupervised Sounding Pixel Learning EMNLP 2023 Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions CVPR 2023 Unsupervised Subtitle Segmentation with Masked Language Models ACL 2023 Unsupervised Summarization Re-ranking ACL 2023 Unsupervised Task Graph Generation from Instructional Video Transcripts ACL 2023 Unsupervised Transfer Components Learning for Cross-Domain Speech Emotion Recognition Interspeech 2023 Unsupervised visualization of image datasets using contrastive learning ICLR 2023 Unsupervised Volumetric Animation CVPR 2023 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 Unveiling Concepts Learned by a World-Class Chess-Playing Agent IJCAI 2023 Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing AAAI 2023 Unveiling the Implicit Toxicity in Large Language Models EMNLP 2023 Unveiling the Latent Space Geometry of Push-Forward Generative Models ICML 2023 UoT at NADI 2023 shared task: Automatic Arabic Dialect Identification is Made Possible EMNLP 2023 UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language ACL 2023 UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023