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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)

Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering ACL 2024 Spivavtor: An Instruction Tuned Ukrainian Text Editing Model COLING 2024 Splatter Image: Ultra-Fast Single-View 3D Reconstruction CVPR 2024 Split Conformal Prediction and Non-Exchangeable Data JMLR 2024 Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation CVPR 2024 SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World CVPR 2024 Spotting AI’s Touch: Identifying LLM-Paraphrased Spans in Text ACL 2024 SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation CVPR 2024 SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer’s Disease Detection ACL 2024 SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models EMNLP 2024 SRCB at #SMM4H 2024: Making Full Use of LLM-based Data Augmentation in Adverse Drug Event Extraction and Normalization ACL 2024 SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework EMNLP 2024 SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024 EMNLP 2024 SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores ICLR 2024 SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling CVPR 2024 SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation NeurIPS 2024 SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models EMNLP 2024 StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024 StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation EMNLP 2024 StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024 Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024 StackEval: Benchmarking LLMs in Coding Assistance NeurIPS 2024 START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NeurIPS 2024 State Chrono Representation for Enhancing Generalization in Reinforcement Learning NeurIPS 2024 Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements CVPR 2024