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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)

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback EMNLP 2024 Text2Model: Text-based Model Induction for Zero-shot Image Classification EMNLP 2024 Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning AAAI 2024 Text-conditional Attribute Alignment across Latent Spaces for 3D Controllable Face Image Synthesis CVPR 2024 TextCraftor: Your Text Encoder Can be Image Quality Controller CVPR 2024 Text-Driven Image Editing via Learnable Regions CVPR 2024 Text-Enhanced Data-free Approach for Federated Class-Incremental Learning CVPR 2024 Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features EMNLP 2024 Text-guided Explorable Image Super-resolution CVPR 2024 Text-Guided Face Recognition Using Multi-Granularity Cross-Modal Contrastive Learning WACV 2024 Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion CVPR 2024 Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval CVPR 2024 Textless Speech-to-Speech Translation With Limited Parallel Data EMNLP 2024 Text-like Encoding of Collaborative Information in Large Language Models for Recommendation ACL 2024 Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection CVPR 2024 Text Simplification via Adaptive Teaching ACL 2024 Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers CVPR 2024 Text-to-Song: Towards Controllable Music Generation Incorporating Vocal and Accompaniment ACL 2024 TextureDreamer: Image-Guided Texture Synthesis Through Geometry-Aware Diffusion CVPR 2024 TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024 TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification AAAI 2024 T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings EMNLP 2024 The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024 The Art of Saying No: Contextual Noncompliance in Language Models NeurIPS 2024 The Background Also Matters: Background-Aware Motion-Guided Objects Discovery WACV 2024