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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)

Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration CVPR 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024 Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024 ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association CVPR 2024 Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation CVPR 2024 Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models ACL 2024 A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers EMNLP 2024 ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024 ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF CVPR 2024 A Diffusion-Based Pre-training Framework for Crystal Property Prediction AAAI 2024 A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives AAAI 2024 AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks NeurIPS 2024 Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NeurIPS 2024 Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation NeurIPS 2024 Advancing Large Language Model Attribution through Self-Improving EMNLP 2024 Advancing Parameter Efficiency in Fine-tuning via Representation Editing ACL 2024 Advancing Post-OCR Correction: A Comparative Study of Synthetic Data ACL 2024 Advancing Process Verification for Large Language Models via Tree-Based Preference Learning EMNLP 2024 Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss EMNLP 2024 Advancing Video Anomaly Detection: A Concise Review and a New Dataset NeurIPS 2024 Advancing Vision-Language Models with Adapter Ensemble Strategies EMNLP 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024 Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024 Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation EMNLP 2024 Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024