Bhiksha Raj
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Papers (44)
- WhisperRT -- Turning Whisper into a Causal Streaming Model cs.CL · 2025 · author #2
- Non-Determinism in Neural Networks for Adversarial Robustness cs.LG · 2019 · author #6
- Reconstructing faces from voices cs.SD · 2019 · author #3
- Nonlinear Semi-Parametric Models for Survival Analysis cs.LG · 2019 · author #6
- Hierarchical Routing Mixture of Experts cs.LG · 2019 · author #4
- Learning Sound Events From Webly Labeled Data cs.SD · 2018 · author #3
- Disjoint Mapping Network for Cross-modal Matching of Voices and Faces cs.CV · 2018 · author #4
- Optimal Strategies for Matching and Retrieval Problems by Comparing Covariates cs.CV · 2018 · author #3
- A Closer Look at Weak Label Learning for Audio Events cs.SD · 2018 · author #4
- Voice Impersonation using Generative Adversarial Networks cs.SD · 2018 · author #3
- DCASE 2017 Task 1: Acoustic Scene Classification Using Shift-Invariant Kernels and Random Features cs.SD · 2018 · author #3
- Framework for evaluation of sound event detection in web videos cs.SD · 2017 · author #5
- Content-based Representations of audio using Siamese neural networks cs.SD · 2017 · author #6
- Inferring Room Semantics Using Acoustic Monitoring cs.SD · 2017 · author #2
- Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting cs.LG · 2017 · author #4
- SphereFace: Deep Hypersphere Embedding for Face Recognition cs.CV · 2017 · author #5
- On the Origin of Deep Learning cs.LG · 2017 · author #2
- The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning cs.NE · 2017 · author #3
- Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data cs.LG · 2016 · author #2
- Discovering Sound Concepts and Acoustic Relations In Text cs.SD · 2016 · author #2
- An Approach for Self-Training Audio Event Detectors Using Web Data cs.SD · 2016 · author #7
- Privacy Preserving Distance Computation using Somewhat-trusted Third Parties cs.CR · 2016 · author #2
- Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording cs.SD · 2016 · author #6
- Features and Kernels for Audio Event Recognition cs.SD · 2016 · author #2
- AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis cs.SD · 2016 · author #5
- Classifier Risk Estimation under Limited Labeling Resources cs.LG · 2016 · author #2
- Weakly Supervised Scalable Audio Content Analysis cs.SD · 2016 · author #2
- Audio Content based Geotagging in Multimedia cs.SD · 2016 · author #3
- Audio Event Detection using Weakly Labeled Data cs.SD · 2016 · author #2
- Environmental Noise Embeddings for Robust Speech Recognition cs.CL · 2016 · author #2
- Handcrafted Local Features are Convolutional Neural Networks cs.CV · 2015 · author #4
- A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas cs.LG · 2015 · author #2
- Privacy-Preserving Multi-Document Summarization cs.IR · 2015 · author #9
- Plagiarism Detection in Polyphonic Music using Monaural Signal Separation cs.SD · 2015 · author #7
- Unsupervised Fusion Weight Learning in Multiple Classifier Systems cs.LG · 2015 · author #2
- Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition cs.CV · 2014 · author #5
- Privacy-Preserving Important Passage Retrieval cs.IR · 2014 · author #8
- Robust 1-bit Compressive Sensing via Gradient Support Pursuit cs.IT · 2013 · author #3
- Learning Model-Based Sparsity via Projected Gradient Descent stat.ML · 2012 · author #3
- Greedy Sparsity-Constrained Optimization stat.ML · 2012 · author #2
- A Unifying Analysis of Projected Gradient Descent for $\ell_p$-constrained Least Squares math.NA · 2011 · author #2
- Privacy Preserving Spam Filtering cs.LG · 2011 · author #3
- Large Margin Multiclass Gaussian Classification with Differential Privacy stat.ML · 2010 · author #2
- Privacy-Preserving Protocols for Eigenvector Computation cs.CR · 2010 · author #2
Mentions
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Frequent Coauthors
- Anurag Kumar 14 shared papers
- Benjamin Elizalde 7 shared papers
- Rita Singh 7 shared papers
- Ankit Shah 6 shared papers
- Ian Lane 4 shared papers
- Rohan Badlani 4 shared papers
- Sohail Bahmani 4 shared papers
- Yandong Wen 4 shared papers
- Abelino Jimenez 3 shared papers
- Alexander G. Hauptmann 3 shared papers
- Manas A. Pathak 3 shared papers
- Anatole Gershman 2 shared papers
- David Martins de Matos 2 shared papers
- Haohan Wang 2 shared papers
- Isabel Trancoso 2 shared papers
- Jaime Carbonell 2 shared papers
- Jo\~ao P. Neto 2 shared papers
- Jos\'e Port\^elo 2 shared papers
- Mahmoud Al Ismail 2 shared papers
- Ming Lin 2 shared papers