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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)

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? EMNLP 2024 Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024 Adapting LLMs for Structured Natural Language API Integration EMNLP 2024 Adapting transformer models to morphological tagging of two highly inflectional languages: a case study on Ancient Greek and Latin ACL 2024 Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images CVPR 2024 Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024 Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NeurIPS 2024 Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts EMNLP 2024 Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation EMNLP 2024 Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024 Adaptive Domain Learning for Cross-domain Image Denoising NeurIPS 2024 Adaptive Graph Learning for Multimodal Conversational Emotion Detection AAAI 2024 Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare NeurIPS 2024 Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks EMNLP 2024 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NeurIPS 2024 Adaptive neural network based control approach for building energy control under changing environmental conditions L4DC 2024 Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models AAAI 2024 Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers EMNLP 2024 Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks CVPR 2024 Adaptive Robust Learning using Latent Bernoulli Variables ICML 2024 Adaptive Slot Attention: Object Discovery with Dynamic Slot Number CVPR 2024 Adaptive Time-Stepping Schedules for Diffusion Models UAI 2024 Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities EMNLP 2024 Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval AAAI 2024 Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning CVPR 2024