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Science

976 papers (30 classified directly here)

Subtopics

Neuroscience (346) Bioinformatics (250) Digital Humanities (234) Quantum Computing (128)

Papers per year

31
5
64
151
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Papers (including subtopics)

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents IJCNLP 2021
The GLAUx corpus: methodological issues in designing a long-term, diverse, multi-layered corpus of Ancient Greek IJCNLP 2021
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder INTERSPEECH 2021
Subjective Evaluation of Noise Suppression Algorithms in Crowdsourcing INTERSPEECH 2021
Entangled Kernels - Beyond Separability JMLR 2021
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems L4DC 2021
A Computational Model for Interactive Transcription NAACL 2021
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NIPS 2020
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NIPS 2020
Demixed shared component analysis of neural population data from multiple brain areas NIPS 2020
Neuronal Gaussian Process Regression NIPS 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE NIPS 2020
A simple normative network approximates local non-Hebbian learning in the cortex NIPS 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NIPS 2020
Online Neural Connectivity Estimation with Noisy Group Testing NIPS 2020
Learning Mutational Semantics NIPS 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error NIPS 2020
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist NIPS 2020
Guiding Deep Molecular Optimization with Genetic Exploration NIPS 2020
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN NIPS 2020
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction NIPS 2020
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions NIPS 2020
Using noise to probe recurrent neural network structure and prune synapses NIPS 2020