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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477

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1,314

2,083

3,689

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8,201

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Papers (including subtopics)

Learnability of Influence in Networks NeurIPS 2015 Learning and inference in the presence of corrupted inputs COLT 2015 Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition CVPR 2015 Learning a Sequential Search for Landmarks CVPR 2015 Learning Bayesian Networks with Thousands of Variables NeurIPS 2015 Learning Causal Graphs with Small Interventions NeurIPS 2015 Learning Deep Representation With Large-Scale Attributes ICCV 2015 Learning Discriminative Reconstructions for Unsupervised Outlier Removal ICCV 2015 Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015 Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015 Learning Fast-Mixing Models for Structured Prediction ICML 2015 Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015 Learning From Massive Noisy Labeled Data for Image Classification CVPR 2015 Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015 Learning Hypergraph-Regularized Attribute Predictors CVPR 2015 Learning Multiple Visual Tasks While Discovering Their Structure CVPR 2015 Learning Overcomplete Latent Variable Models through Tensor Methods COLT 2015 Learning Scene-Specific Pedestrian Detectors Without Real Data CVPR 2015 Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015 Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning ICCV 2015 Learning Sparse Low-Threshold Linear Classifiers JMLR 2015 Learning Temporal Embeddings for Complex Video Analysis ICCV 2015 Learning Theory and Algorithms for Forecasting Non-stationary Time Series NeurIPS 2015 Learning The Structure of Deep Convolutional Networks ICCV 2015 Learning to Combine Mid-Level Cues for Object Proposal Generation ICCV 2015