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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)

Fine-Grained Alignment for Cross-Modal Recipe Retrieval WACV 2024 Fine-grained Classification of Circumstantial Meanings within the Prague Dependency Treebank Annotation Scheme COLING 2024 Fine-grained Control of Generative Data Augmentation in IoT Sensing NeurIPS 2024 Fine-Grained Distillation for Long Document Retrieval AAAI 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models CVPR 2024 Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models EMNLP 2024 Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction AAAI 2024 FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models NeurIPS 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-tuning CLIP Text Encoders with Two-step Paraphrasing EACL 2024 Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking ICLR 2024 Fine-Tuning Language Models on Dutch Protest Event Tweets EACL 2024 Fine-tuning of Pre-trained Models for Classification of Vocal Intensity Category from Speech Signals Interspeech 2024 Fine-Tuning Pre-Trained Language Models with Gaze Supervision ACL 2024 Fine-tuning Smaller Language Models for Question Answering over Financial Documents EMNLP 2024 Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024 Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation ICML 2024 FIRE: Food Image to REcipe Generation WACV 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation EMNLP 2024 FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures CVPR 2024 FITS: Modeling Time Series with $10k$ Parameters ICLR 2024 FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models NeurIPS 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024 (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NeurIPS 2024