conftrace_

Learning Types

56,253 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 (1,983) 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)

Papers per year

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Papers (including subtopics)

Unified Embedding and Metric Learning for Zero-Exemplar Event Detection CVPR 2017 Unifying Task Specification in Reinforcement Learning ICML 2017 Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction ACL 2017 Universal Adversarial Perturbations CVPR 2017 Universal consistency and minimax rates for online Mondrian Forests NeurIPS 2017 Unmixing Convolutive Mixtures by Exploiting Amplitude Co-Modulation: Methods and Evaluation on Mandarin Speech Recordings Interspeech 2017 Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks CVPR 2017 Unsupervised AMR-Dependency Parse Alignment EACL 2017 Unsupervised Cross-Lingual Scaling of Political Texts EACL 2017 Unsupervised Deep Video Hashing with Balanced Rotation IJCAI 2017 Unsupervised Dialogue Act Induction using Gaussian Mixtures EACL 2017 Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL 2017 Unsupervised Filterbank Learning Using Convolutional Restricted Boltzmann Machine for Environmental Sound Classification Interspeech 2017 Unsupervised Image-to-Image Translation Networks NeurIPS 2017 Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation EMNLP 2017 Unsupervised Learning by Predicting Noise ICML 2017 Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions IJCAI 2017 Unsupervised Learning of Depth and Ego-Motion From Video CVPR 2017 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data NeurIPS 2017 Unsupervised Learning of Disentangled Representations from Video NeurIPS 2017 Unsupervised Learning of Long-Term Motion Dynamics for Videos CVPR 2017 Unsupervised learning of object frames by dense equivariant image labelling NeurIPS 2017 Unsupervised Learning via Total Correlation Explanation IJCAI 2017 Unsupervised Monocular Depth Estimation With Left-Right Consistency CVPR 2017 Unsupervised Part Learning for Visual Recognition CVPR 2017