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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)

Empowering Multi-step Reasoning across Languages via Program-Aided Language Models EMNLP 2024 Emulated Disalignment: Safety Alignment for Large Language Models May Backfire! ACL 2024 Enable Fast Sampling for Seq2Seq Text Diffusion EMNLP 2024 Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection ACL 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection CVPR 2024 End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon ICLR 2024 End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding IJCAI 2024 End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy AAAI 2024 End-to-End Speech Recognition for Endangered Languages of Nepal EACL 2024 Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract) AAAI 2024 Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble ACL 2024 Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation EMNLP 2024 Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning CVPR 2024 Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024 Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing AAAI 2024 Enhancing Advanced Visual Reasoning Ability of Large Language Models EMNLP 2024 Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development ACL 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024 Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs COLING 2024 Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NeurIPS 2024 Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation ICLR 2024 Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping ACL 2024