1 citations · 1 across the 4 of their papers we have counts for
4 papers
MAEB: Massive Audio Embedding Benchmark
Adnan El Assadi, Isaac Chung, Chenghao Xiao +15
We introduce the Massive Audio Embedding Benchmark (MAEB), a large-scale benchmark covering 30 tasks across speech, music, environmental sounds, and cross-modal audio-text reasonin…
Data Retrieval with Importance Weights for Few-Shot Imitation Learning
Amber Xie, Rahul Chand, Dorsa Sadigh +1
While large-scale robot datasets have propelled recent progress in imitation learning, learning from smaller task specific datasets remains critical for deployment in new environme…
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization
Rahul Chand, Yashoteja Prabhu, Pratyush Kumar
With the tremendous success of large transformer models in natural language understanding, down-sizing them for cost-effective deployments has become critical. Recent studies have…
CapsFlow: Optical Flow Estimation with Capsule Networks
Rahul Chand, Rajat Arora, K Ram Prabhakar +1
We present a framework to use recently introduced Capsule Networks for solving the problem of Optical Flow, one of the fundamental computer vision tasks. Most of the existing state…