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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)

AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training ACL 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NeurIPS 2024 A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models CVPR 2024 A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy ACL 2024 A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives EMNLP 2024 A Comprehensive Augmentation Framework for Anomaly Detection AAAI 2024 A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models ACL 2024 A Computation-Aware Shape Loss Function for Point Cloud Completion AAAI 2024 A Critical Evaluation of AI Feedback for Aligning Large Language Models NeurIPS 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Action Imitation in Common Action Space for Customized Action Image Synthesis NeurIPS 2024 ActiveDC: Distribution Calibration for Active Finetuning CVPR 2024 Active learning of neural population dynamics using two-photon holographic optogenetics NeurIPS 2024 Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Prompting EMNLP 2024 Active Object Detection with Knowledge Aggregation and Distillation from Large Models CVPR 2024 Active Prompt Learning in Vision Language Models CVPR 2024 Activity-Biometrics: Person Identification from Daily Activities CVPR 2024 AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection AAAI 2024 Ada-Instruct: Adapting Instruction Generators for Complex Reasoning EMNLP 2024 ADAM: Dense Retrieval Distillation with Adaptive Dark Examples ACL 2024 AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models EMNLP 2024 AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NeurIPS 2024 AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models NeurIPS 2024