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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)

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024 Seer: Enabling Future-Aware Online Caching in Networked Systems NSDI 2024 SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation EMNLP 2024 See Say and Segment: Teaching LMMs to Overcome False Premises CVPR 2024 SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter AAAI 2024 Segment Any Change NeurIPS 2024 Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens CVPR 2024 Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation EMNLP 2024 Segment Anything, From Space? WACV 2024 Segment Anything without Supervision NeurIPS 2024 Segmenting Watermarked Texts From Language Models NeurIPS 2024 SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving ACL 2024 SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain AAAI 2024 SEL-BALD: Deep Bayesian Active Learning with Selective Labels NeurIPS 2024 SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NeurIPS 2024 Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint) AAAI 2024 Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models EMNLP 2024 Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability EMNLP 2024 Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model EMNLP 2024 Selective Deep Autoencoder for Unsupervised Feature Selection AAAI 2024 Selective Explanations NeurIPS 2024 Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection MLHC 2024 Selective Generation for Controllable Language Models NeurIPS 2024 Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model CVPR 2024 Selectively Answering Visual Questions ACL 2024