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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)

Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras NeurIPS 2024 Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech Interspeech 2024 Speaker Change Detection with Weighted-sum Knowledge Distillation based on Self-supervised Pre-trained Models Interspeech 2024 Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator Interspeech 2024 Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs AAAI 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification NeurIPS 2024 Spear: Evaluate the Adversarial Robustness of Compressed Neural Models IJCAI 2024 SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning EMNLP 2024 Specializing Self-Supervised Speech Representations for Speaker Segmentation Interspeech 2024 Spectral-Based Graph Neural Networks for Complementary Item Recommendation AAAI 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 Spectrally Transformed Kernel Regression ICLR 2024 Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation AAAI 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024 Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile AAAI 2024 Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024 Speculative Monte-Carlo Tree Search NeurIPS 2024 Speech After Gender: A Trans-Feminine Perspective on Next Steps for Speech Science and Technology Interspeech 2024 Speech Analysis of Language Varieties in Italy COLING 2024 Speech Emotion Recognition with Multi-level Acoustic and Semantic Information Extraction and Interaction Interspeech 2024 SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection NeurIPS 2024 Speech Recognition Corpus of the Khinalug Language for Documenting Endangered Languages COLING 2024 Speech Recognition Models are Strong Lip-readers Interspeech 2024 Speech Self-Supervised Learning Using Diffusion Model Synthetic Data ICML 2024