conftrace_

Learning Types

56,254 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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 (1,984) 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)

Papers per year

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26

18

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135

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147

149

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316

526

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477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

2,020

2000

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Papers (including subtopics)

Hierarchical Fine-Grained Image Forgery Detection and Localization CVPR 2023 Hierarchical Fusion for Online Multimodal Dialog Act Classification EMNLP 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023 Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques ACL 2023 Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model CoRL 2023 Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation ICCV 2023 Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs ICML 2023 Hierarchical Randomized Smoothing NeurIPS 2023 Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection CVPR 2023 Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation IJCAI 2023 Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection CVPR 2023 Hierarchical Text Classification as Sub-hierarchy Sequence Generation AAAI 2023 Hierarchical Timbre-Cadence Speaker Encoder for Zero-shot Speech Synthesis Interspeech 2023 Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection NeurIPS 2023 Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification ACL 2023 HierVL: Learning Hierarchical Video-Language Embeddings CVPR 2023 HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer Interspeech 2023 High-dimensional Clustering onto Hamiltonian Cycle ICML 2023 High-dimensional Contextual Bandit Problem without Sparsity NeurIPS 2023 High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation AAAI 2023 High-quality argumentative information in low resources approaches improve counter-narrative generation EMNLP 2023 High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units Interspeech 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023 Hijacking Robot Teams Through Adversarial Communication CoRL 2023 Hindsight Learning for MDPs with Exogenous Inputs ICML 2023