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Core AI

3,800 papers (63 classified directly here)

Subtopics

Computer Vision (2,278) Multimodal Learning (1,266) Efficient Computing (180) Interpretability (74) Multi-Modal Learning (55) Foundation Models (35)

Papers per year

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14
93
291
842
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Papers (including subtopics)

ImageNet Classification with Deep Convolutional Neural Networks NIPS 2012
Learning to Align from Scratch NIPS 2012
Multiresolution Deep Belief Networks AISTATS 2012
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NIPS 2011
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NIPS 2011
PiCoDes: Learning a Compact Code for Novel-Category Recognition NIPS 2011
Understanding the Intrinsic Memorability of Images NIPS 2011
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NIPS 2011
Selecting Receptive Fields in Deep Networks NIPS 2011
Predicting response time and error rates in visual search NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
Learning person-object interactions for action recognition in still images NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NIPS 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NIPS 2011
Tiled convolutional neural networks NIPS 2010
Size Matters: Metric Visual Search Constraints from Monocular Metadata NIPS 2010
Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike NIPS 2010
Learning to combine foveal glimpses with a third-order Boltzmann machine NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
A Bayesian Framework for Figure-Ground Interpretation NIPS 2010
A biologically plausible network for the computation of orientation dominance NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010