activity
20112026
most citedUnsupervised Meta-Learning For Few-Shot Image Classification

65 citations · 131 across the 21 of their papers we have counts for

collaborators

22 papers

cs.RO2026

Behavior Cloning for Active Perception with Low-Resolution Egocentric Vision

Anthony Bilic, Chen Chen, Ladislau Bölöni

We investigate whether behavior cloning is sufficient to produce active perception in a structured object-finding task. A low-cost robot arm equipped with a wrist-mounted egocentri…

cs.CL2025

Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection

Saad Almohaimeed, Saleh Almohaimeed, Damla Turgut +1

Implicit hate speech has recently emerged as a critical challenge for social media platforms. While much of the research has traditionally focused on harmful speech in general, the…

cs.RO2025

Latent Representations for Visual Proprioception in Inexpensive Robots

Sahara Sheikholeslami, Ladislau Bölöni

Robotic manipulation requires explicit or implicit knowledge of the robot's joint positions. Precise proprioception is standard in high-quality industrial robots but is often unava…

cs.CL2023

THOS: A Benchmark Dataset for Targeted Hate and Offensive Speech

Saad Almohaimeed, Saleh Almohaimeed, Ashfaq Ali Shafin +2

Detecting harmful content on social media, such as Twitter, is made difficult by the fact that the seemingly simple yes/no classification conceals a significant amount of complexit…

cs.MA2020

Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward

Hassam Ullah Sheikh, Ladislau Bölöni

Many cooperative multi-agent problems require agents to learn individual tasks while contributing to the collective success of the group. This is a challenging task for current sta…

cs.RO2019

Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter

Pooya Abolghasemi, Ladislau Bölöni

Recent research demonstrated that it is feasible to end-to-end train multi-task deep visuomotor policies for robotic manipulation using variations of learning from demonstration (L…