Search Results for author: Harkirat Singh Behl

Found 7 papers, 2 papers with code

Overcoming the Convex Barrier for Simplex Inputs

no code implementations NeurIPS 2021 Harkirat Singh Behl, M. Pawan Kumar, Philip Torr, Krishnamurthy Dvijotham

Recent progress in neural network verification has challenged the notion of a convex barrier, that is, an inherent weakness in the convex relaxation of the output of a neural network.

Scaling the Convex Barrier with Sparse Dual Algorithms

no code implementations ICLR 2021 Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar

Tight and efficient neural network bounding is crucial to the scaling of neural network verification systems.

Alpha MAML: Adaptive Model-Agnostic Meta-Learning

no code implementations17 May 2019 Harkirat Singh Behl, Atılım Güneş Baydin, Philip H. S. Torr

Model-agnostic meta-learning (MAML) is a meta-learning technique to train a model on a multitude of learning tasks in a way that primes the model for few-shot learning of new tasks.

Few-Shot Learning General Classification

Incremental Tube Construction for Human Action Detection

1 code implementation5 Apr 2017 Harkirat Singh Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr

In this work, we introduce a real-time and online joint-labelling and association algorithm for action detection that can incrementally construct space-time action tubes on the most challenging action videos in which different action categories occur concurrently.

Action Detection Association

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