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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)

Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments EMNLP 2024 Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack AAAI 2024 Explicit Visual Prompts for Visual Object Tracking AAAI 2024 Exploiting Auxiliary Caption for Video Grounding AAAI 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NeurIPS 2024 Exploiting Diffusion Prior for Generalizable Dense Prediction CVPR 2024 Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024 Exploiting Polarized Material Cues for Robust Car Detection AAAI 2024 Exploiting Positional Bias for Query-Agnostic Generative Content in Search ACL 2024 Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models ECCV 2024 Exploiting Style Latent Flows for Generalizing Deepfake Video Detection CVPR 2024 Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense ECCV 2024 Exploiting Target Language Data for Neural Machine Translation Beyond Back Translation ACL 2024 EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024 Exploration by Learning Diverse Skills through Successor State Representations NeurIPS 2024 Exploring Adversarial Robustness of Deep State Space Models NeurIPS 2024 Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection AAAI 2024 Exploring Chain-of-Thought for Multi-modal Metaphor Detection ACL 2024 Exploring Correlations of Self-Supervised Tasks for Graphs ICML 2024 Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting IJCAI 2024 Exploring Design Choices for Building Language-Specific LLMs EMNLP 2024 Exploring Diverse Representations for Open Set Recognition AAAI 2024 Exploring Domain Robust Lightweight Reward Models based on Router Mechanism ACL 2024 Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios CVPR 2024 Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024