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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)

DisCEdit: Model Editing by Identifying Discriminative Components NeurIPS 2024 Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint ACL 2024 DisCo: Disentangled Control for Realistic Human Dance Generation CVPR 2024 Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision EACL 2024 Discovering and Mitigating Biases in CLIP-Based Image Editing WACV 2024 Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024 Discovering Environments with XRM ICML 2024 Discovering plasticity rules that organize and maintain neural circuits NeurIPS 2024 Discovering Preference Optimization Algorithms with and for Large Language Models NeurIPS 2024 Discovering Robotic Interaction Modes with Discrete Representation Learning CoRL 2024 Discovering Sequential Patterns with Predictable Inter-event Delays AAAI 2024 Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching AAAI 2024 Discrete Dictionary-based Decomposition Layer for Structured Representation Learning NeurIPS 2024 Discrete Latent Perspective Learning for Segmentation and Detection ICML 2024 Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks AAAI 2024 Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation CVPR 2024 Discriminative Probing and Tuning for Text-to-Image Generation CVPR 2024 Discriminator Guidance for Autoregressive Diffusion Models AISTATS 2024 Disentangled Learning with Synthetic Parallel Data for Text Style Transfer ACL 2024 Disentangled Pre-Training for Image Matting WACV 2024 Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection NeurIPS 2024 Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract) AAAI 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024 DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking EMNLP 2024