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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)

Stronger and Transferable Node Injection Attacks AAAI 2024 Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception AAAI 2024 Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations AAAI 2024 Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations EMNLP 2024 Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024 Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising EMNLP 2024 Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NeurIPS 2024 Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding ICLR 2024 Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning EMNLP 2024 Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification Interspeech 2024 Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks ACL 2024 STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract) AAAI 2024 Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NeurIPS 2024 Style Aligned Image Generation via Shared Attention CVPR 2024 Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles EMNLP 2024 StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators WACV 2024 StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements EMNLP 2024 StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis AAAI 2024 STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization WACV 2024 Stylus: Automatic Adapter Selection for Diffusion Models NeurIPS 2024 SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning NeurIPS 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 Subhomogeneous Deep Equilibrium Models ICML 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 Subword Segmentation in LLMs: Looking at Inflection and Consistency EMNLP 2024