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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)

Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA CVPR 2024 Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation ACL 2024 SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation EMNLP 2024 Synthetic Context with LLM for Entity Linking from Scientific Tables ACL 2024 Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models EMNLP 2024 Synthetic Multimodal Question Generation EMNLP 2024 SynthProv: Interpretable Framework for Profiling Identity Leakage WACV 2024 Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification CVPR 2024 T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models AAAI 2024 TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling AAAI 2024 Tab2Text - A framework for deep learning with tabular data EMNLP 2024 Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs ACL 2024 TabR: Tabular Deep Learning Meets Nearest Neighbors ICLR 2024 TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NeurIPS 2024 Tactile-Augmented Radiance Fields CVPR 2024 Tag-grounded Visual Instruction Tuning with Retrieval Augmentation EMNLP 2024 Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NeurIPS 2024 Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024 TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight NeurIPS 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NeurIPS 2024 Taming Normalizing Flows WACV 2024 TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning EMNLP 2024 TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024 Target-Aware Language Modeling via Granular Data Sampling EMNLP 2024 Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024