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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior CVPR 2024 From Hate Speech to Societal Empowerment: A Pedagogical Journey Through Computational Thinking and NLP for High School Students ACL 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NeurIPS 2024 From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding CVPR 2024 From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module ICLR 2024 From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications ACL 2024 From N-grams to Pre-trained Multilingual Models For Language Identification EMNLP 2024 From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models CVPR 2024 From Pixels to Metal: AI-Empowered Numismatic Art IJCAI 2024 From Posterior Sampling to Meaningful Diversity in Image Restoration ICLR 2024 From RAG to Riches: Retrieval Interlaced with Sequence Generation EMNLP 2024 From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation CVPR 2024 From Shortcuts to Triggers: Backdoor Defense with Denoised PoE NAACL 2024 From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News IJCAI 2024 From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items EMNLP 2024 From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts EMNLP 2024 From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis EMNLP 2024 From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks AAAI 2024 From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NeurIPS 2024 From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When NeurIPS 2024 From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation ICML 2024 FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning ECCV 2024 Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation CVPR 2024 Frozen CLIP Transformer Is an Efficient Point Cloud Encoder AAAI 2024 Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024