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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)

Predictive Dynamic Fusion ICML 2024 PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024 Preference Alignment with Flow Matching NeurIPS 2024 Preference Tuning For Toxicity Mitigation Generalizes Across Languages EMNLP 2024 Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model ACL 2024 PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference NeurIPS 2024 Preserving Fairness Generalization in Deepfake Detection CVPR 2024 Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024 Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality EMNLP 2024 PressureVision++: Estimating Fingertip Pressure From Diverse RGB Images WACV 2024 PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes EMNLP 2024 Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024 Pre-trained Large Language Models Use Fourier Features to Compute Addition NeurIPS 2024 Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 2024 Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control NeurIPS 2024 Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NeurIPS 2024 Pre-Training and Fine-Tuning Generative Flow Networks ICLR 2024 Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching EMNLP 2024 Pre-training Differentially Private Models with Limited Public Data NeurIPS 2024 Pre-training LiDAR-based 3D Object Detectors through Colorization ICLR 2024 Pre-training with Synthetic Data Helps Offline Reinforcement Learning ICLR 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NeurIPS 2024 Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 Previously on ... From Recaps to Story Summarization CVPR 2024