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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)

Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024 Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures Interspeech 2024 Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024 Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain AAAI 2024 I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives AAAI 2024 IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images CVPR 2024 IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation CVPR 2024 IReNe: Instant Recoloring of Neural Radiance Fields CVPR 2024 Irrelevant Alternatives Bias Large Language Model Hiring Decisions EMNLP 2024 Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models NeurIPS 2024 Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? CVPR 2024 Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? EMNLP 2024 Isometric Representation Learning for Disentangled Latent Space of Diffusion Models ICML 2024 Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. NeurIPS 2024 ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection AAAI 2024 Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs EMNLP 2024 Iterated Learning Improves Compositionality in Large Vision-Language Models CVPR 2024 Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval NeurIPS 2024 Iterative Multi-Granular Image Editing Using Diffusion Models WACV 2024 iToF-flow-based High Frame Rate Depth Imaging CVPR 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024 IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NeurIPS 2024