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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)

Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023 Unleash the Potential of Image Branch for Cross-modal 3D Object Detection NeurIPS 2023 Unlimiformer: Long-Range Transformers with Unlimited Length Input NeurIPS 2023 UnLoc: A Unified Framework for Video Localization Tasks ICCV 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization NeurIPS 2023 Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations EMNLP 2023 Unpaired Image-to-Image Translation With Shortest Path Regularization CVPR 2023 UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures NeurIPS 2023 Unsupervised Behavior Extraction via Random Intent Priors NeurIPS 2023 Unsupervised Binary Code Translation with Application to Code Clone Detection and Vulnerability Discovery EMNLP 2023 Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model EMNLP 2023 Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention AAAI 2023 Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow CVPR 2023 Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity CVPR 2023 Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics AAAI 2023 Unsupervised Deep Video Denoising with Untrained Network AAAI 2023 Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training ACL 2023 Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment AAAI 2023 Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation CVPR 2023 Unsupervised Grammatical Error Correction Rivaling Supervised Methods EMNLP 2023 Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches ICCV 2023 Unsupervised Learning for Solving the Travelling Salesman Problem NeurIPS 2023 Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images ICCV 2023 Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive AAAI 2023