Theory
5,579 papers
Papers per year
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Papers
Improved Algorithms for Convex-Concave Minimax Optimization
NeurIPS 2020
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
NeurIPS 2020
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
IJCAI 2020
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks
AAAI 2020
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
AAAI 2020
Inconsistency Measurement for Improving Logical Formula Clustering
IJCAI 2020
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors
ICML 2020
Infinite attention: NNGP and NTK for deep attention networks
ICML 2020
Infinitely deep neural networks as diffusion processes
AISTATS 2020
Information Geometry of Orthogonal Initializations and Training
ICLR 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
Interactive Learning of a Dynamic Structure
ALT 2020
Interpretation of NLP models through input marginalization
EMNLP 2020
Interpreting Predictions of NLP Models
EMNLP 2020
Intrinsic Evaluation of Summarization Datasets
EMNLP 2020
Invertible Generative Modeling using Linear Rational Splines
AISTATS 2020
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
ICLR 2020
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?
IJCAI 2020
It’s Not What Machines Can Learn, It’s What We Cannot Teach
ICML 2020
Keeping Your Friends Close: Land Allocation with Friends
IJCAI 2020
Kernel and Rich Regimes in Overparametrized Models
COLT 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
NeurIPS 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
EMNLP 2020
Learning Feature Sparse Principal Subspace
NeurIPS 2020
Learning with Fenchel-Young losses
JMLR 2020