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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1,314

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3,689

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8,201

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Papers (including subtopics)

Effects of Naturalistic Variation in Goal-Oriented Dialog EMNLP 2020 Efficient active learning of sparse halfspaces with arbitrary bounded noise NeurIPS 2020 Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Efficient and Information-Preserving Future Frame Prediction and Beyond ICLR 2020 Efficient and Modularized Training on FPGA for Real-time Applications IJCAI 2020 Efficient and robust algorithms for adversarial linear contextual bandits COLT 2020 Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020 Efficient Automatic CASH via Rising Bandits AAAI 2020 Efficient Contextual Bandits with Continuous Actions NeurIPS 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Efficient Dialogue State Tracking by Selectively Overwriting Memory ACL 2020 Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning NeurIPS 2020 Efficient Domain Generalization via Common-Specific Low-Rank Decomposition ICML 2020 Efficient Generation of Structured Objects with Constrained Adversarial Networks NeurIPS 2020 Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation AAAI 2020 Efficient improper learning for online logistic regression COLT 2020 Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions L4DC 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching NeurIPS 2020 Efficiently Learning Adversarially Robust Halfspaces with Noise ICML 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020 Efficient MDI Adaptation for n-Gram Language Models Interspeech 2020 Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020 Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages ACL 2020 Efficient, Noise-Tolerant, and Private Learning via Boosting COLT 2020