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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)

AFBench: A Large-scale Benchmark for Airfoil Design NeurIPS 2024 A Few-Shot Multi-Accented Speech Classification for Indian Languages using Transformers and LLM’s Fine-Tuning Approaches EACL 2024 A Fixed-Point Approach to Unified Prompt-Based Counting AAAI 2024 AFL-Net: Integrating Audio, Facial, and Lip Modalities with a Two-step Cross-attention for Robust Speaker Diarization in the Wild Interspeech 2024 A Fourier Perspective of Feature Extraction and Adversarial Robustness IJCAI 2024 A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation AAAI 2024 African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification EMNLP 2024 AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation WACV 2024 A General Black-box Adversarial Attack on Graph-based Fake News Detectors IJCAI 2024 A General Framework for Learning from Weak Supervision ICML 2024 A General Identification Algorithm For Data Fusion Problems Under Systematic Selection UAI 2024 A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration AAAI 2024 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024 A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024 A Generative Approach for Wikipedia-Scale Visual Entity Recognition CVPR 2024 A Generative Model of Symmetry Transformations NeurIPS 2024 A Generic Method for Fine-grained Category Discovery in Natural Language Texts EMNLP 2024 AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NeurIPS 2024 Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization ACL 2024 AgentReview: Exploring Peer Review Dynamics with LLM Agents EMNLP 2024 Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NeurIPS 2024 Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation IJCAI 2024 Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models COLING 2024 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 Agnostic Multi-Robust Learning using ERM AISTATS 2024