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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)

Whose Emotions and Moral Sentiments do Language Models Reflect? ACL 2024 Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice EMNLP 2024 Who Wrote this Code? Watermarking for Code Generation ACL 2024 Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP 2024 Why do Variational Autoencoders Really Promote Disentanglement? ICML 2024 Wide Two-Layer Networks can Learn from Adversarial Perturbations NeurIPS 2024 WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata NeurIPS 2024 WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification CVPR 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NeurIPS 2024 Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning AAAI 2024 Wired Perspectives: Multi-View Wire Art Embraces Generative AI CVPR 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NeurIPS 2024 WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer ICML 2024 With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning IJCAI 2024 Wit Hub@DravidianLangTech-2024:Multimodal Social Media Data Analysis in Dravidian Languages using Machine Learning Models EACL 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct ICLR 2024 Word Alignment as Preference for Machine Translation EMNLP 2024 Wordflow: Social Prompt Engineering for Large Language Models ACL 2024 Word Matters: What Influences Domain Adaptation in Summarization? ACL 2024 World Models for General Surgical Grasping RSS 2024 World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering EMNLP 2024 Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NeurIPS 2024 Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information EMNLP 2024 WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT ACL 2024 X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer AAAI 2024