
Rawlsian Fair Adaptation of Deep Learning Classifiers
Groupfairness in classification aims for equality of a predictive utili...
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DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
Accurate reconstruction of static environments from LiDAR scans of scene...
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Learning a Latent Simplex in InputSparsity Time
We consider the problem of learning a latent kvertex simplex K⊂ℝ^d, giv...
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Algorithms for finding k in kmeans
kmeans Clustering requires as input the exact value of k, the number of...
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On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime
Knowledge distillation (KD), i.e. one classifier being trained on the ou...
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Finding a latent ksimplex in O(k . nnz(data)) time via Subset Smoothing
The core problem in many Latent Variable Models, widely used in Unsuperv...
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RESIDE: Improving DistantlySupervised Neural Relation Extraction using Side Information
Distantlysupervised Relation Extraction (RE) methods train an extractor...
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How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?
We consider the problem of optimal recovery of true ranking of n items f...
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Graph Convolutional Networks based Word Embeddings
Recently, word embeddings have been widely adopted across several NLP ap...
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Using Inherent Structures to design Lean 2layer RBMs
Understanding the representational power of Restricted Boltzmann Machine...
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A provable SVDbased algorithm for learning topics in dominant admixture corpus
Topic models, such as Latent Dirichlet Allocation (LDA), posit that docu...
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Mining Block I/O Traces for Cache Preloading with Sparse Temporal Nonparametric Mixture of Multivariate Poisson
Existing caching strategies, in the storage domain, though well suited t...
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Temporally Coherent Bayesian Models for Entity Discovery in Videos by Tracklet Clustering
A video can be represented as a sequence of tracklets, each spanning 10...
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Chiranjib Bhattacharyya
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