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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)

Consistency Training by Synthetic Question Generation for Conversational Question Answering ACL 2024 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ICLR 2024 Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness EMNLP 2024 Consistent Prompting for Rehearsal-Free Continual Learning CVPR 2024 ConstitutionalExperts: Training a Mixture of Principle-based Prompts ACL 2024 Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NeurIPS 2024 Constrained Diffusion Models via Dual Training NeurIPS 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort ECCV 2024 Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation CVPR 2024 CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Models EMNLP 2024 ContactField: Implicit Field Representation for Multi-Person Interaction Geometry NeurIPS 2024 ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction ACL 2024 Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth CVPR 2024 Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs EMNLP 2024 Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation AAAI 2024 Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs EMNLP 2024 Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval AAAI 2024 Contextrast: Contextual Contrastive Learning for Semantic Segmentation CVPR 2024 ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention CVPR 2024 Contextual Affinity Distillation for Image Anomaly Detection WACV 2024 Continual Audio-Visual Sound Separation NeurIPS 2024 Continual Contrastive Spoken Language Understanding ACL 2024 Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition ACL 2024 Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR 2024