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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)

Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning EMNLP 2024 Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language AAAI 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality NeurIPS 2024 Few-Shot Generative Model for Skeleton-Based Human Action Synthesis Using Cross-Domain Adversarial Learning WACV 2024 Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI AAAI 2024 Few-Shot Neural Radiance Fields under Unconstrained Illumination AAAI 2024 Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024 Few-shot Question Generation for Reading Comprehension ACL 2024 Few-Shot Shape Recognition by Learning Deep Shape-Aware Features WACV 2024 Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries ICML 2024 FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models CVPR 2024 FG-Net: Facial Action Unit Detection With Generalizable Pyramidal Features WACV 2024 Fight Back Against Jailbreaking via Prompt Adversarial Tuning NeurIPS 2024 Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024 Filtered Direct Preference Optimization EMNLP 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NeurIPS 2024 Financial Forecasting from Textual and Tabular Time Series EMNLP 2024 Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024 Finding the Optimal Byte-Pair Encoding Merge Operations for Neural Machine Translation in a Low-Resource Setting EMNLP 2024 Find the Lady: Permutation and Re-synchronization of Deep Neural Networks AAAI 2024 FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents EMNLP 2024 FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding NeurIPS 2024 FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension EMNLP 2024