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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)

Improving Vision-and-Language Reasoning via Spatial Relations Modeling WACV 2024 Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information NAACL 2024 I’m sure you’re a real scholar yourself: Exploring Ironic Content Generation by Large Language Models EMNLP 2024 IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract) AAAI 2024 Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding AAAI 2024 Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation EMNLP 2024 Inconsistency-Based Data-Centric Active Open-Set Annotation AAAI 2024 In-Context Compositional Generalization for Large Vision-Language Models EMNLP 2024 In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024 In-context Exploration-Exploitation for Reinforcement Learning ICLR 2024 In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024 In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NeurIPS 2024 In-Context Matting CVPR 2024 Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition CVPR 2024 Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases EMNLP 2024 Incremental pre-training from smaller language models ACL 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Independency Adversarial Learning for Cross-Modal Sound Separation AAAI 2024 “In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024 IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS NeurIPS 2024 Individuation in Neural Models with and without Visual Grounding EMNLP 2024 INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024 InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries ACML 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024