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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)

MDFL: Multi-Domain Diffusion-Driven Feature Learning AAAI 2024 MeaCap: Memory-Augmented Zero-shot Image Captioning CVPR 2024 Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024 Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework AAAI 2024 MEANT: Multimodal Encoder for Antecedent Information EMNLP 2024 Measuring Dejavu Memorization Efficiently NeurIPS 2024 Measuring Per-Unit Interpretability at Scale Without Humans NeurIPS 2024 MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP 2024 MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation EMNLP 2024 Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification NeurIPS 2024 Medical Vision-Language Pre-Training for Brain Abnormalities COLING 2024 Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion EMNLP 2024 MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant CVPR 2024 Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NeurIPS 2024 MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models CVPR 2024 MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024 MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing ACL 2024 Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks UAI 2024 Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract) AAAI 2024 Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024 Memory-Efficient Prompt Tuning for Incremental Histopathology Classification AAAI 2024 Memory-Scalable and Simplified Functional Map Learning CVPR 2024 Merely Judging Metaphor is Not Enough: Research on Reasonable Metaphor Detection EMNLP 2024 Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging EMNLP 2024 MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline EMNLP 2024