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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)

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024 Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model CVPR 2024 Jailbreaking LLMs with Arabic Transliteration and Arabizi EMNLP 2024 JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients CVPR 2024 JellyBell at TextGraphs-17 Shared Task: Fusing Large Language Models with External Knowledge for Enhanced Question Answering ACL 2024 Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024 Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever EMNLP 2024 JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models CVPR 2024 Joint Composite Latent Space Bayesian Optimization ICML 2024 Joint Demosaicing and Denoising for Spike Camera AAAI 2024 Joint Inference of Retrieval and Generation for Passage Re-ranking EACL 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion EMNLP 2024 JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract) AAAI 2024 JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images NeurIPS 2024 Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024 Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem NeurIPS 2024 Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios ACL 2024 Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling NeurIPS 2024 KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases EMNLP 2024 KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching AAAI 2024 Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024 Kernel Readout for Graph Neural Networks IJCAI 2024 Keypoint Promptable Re-Identification ECCV 2024