99 citations · 220 across the 16 of their papers we have counts for
19 papers
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations
Samraj Moorjani, Adit Krishnan, Hari Sundaram
As large-scale language models become the standard for text generation, there is a greater need to tailor the generations to be more or less concise, targeted, and informative, dep…
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems
Junting Wang, Adit Krishnan, Hari Sundaram +1
Modern neural collaborative filtering techniques are critical to the success of e-commerce, social media, and content-sharing platforms. However, despite technical advances -- for…
Lower Bounds for Pseudo-Deterministic Counting in a Stream
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan +1
Many streaming algorithms provide only a high-probability relative approximation. These two relaxations, of allowing approximation and randomization, seem necessary -- for many str…
Audience-Centric Natural Language Generation via Style Infusion
Samraj Moorjani, Adit Krishnan, Hari Sundaram +2
Adopting contextually appropriate, audience-tailored linguistic styles is critical to the success of user-centric language generation systems (e.g., chatbots, computer-aided writin…
ESW Edge-Weights : Ensemble Stochastic Watershed Edge-Weights for Hyperspectral Image Classification
Rohan Agarwal, Aman Aziz, Aditya Suraj Krishnan +2
Hyperspectral image (HSI) classification is a topic of active research. One of the main challenges of HSI classification is the lack of reliable labelled samples. Various semi-supe…
Projective Clustering Product Quantization
Aditya Krishnan, Edo Liberty
This paper suggests the use of projective clustering based product quantization for improving nearest neighbor and max-inner-product vector search (MIPS) algorithms. We provide ani…