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08/31/2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Visual model-based RL methods typically encode image observations into l...
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08/29/2023
Masquerade: Simple and Lightweight Transaction Reordering Mitigation in Blockchains
Blockchains offer strong security gurarantees, but cannot protect users ...
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08/02/2023
Maximizing Success Rate of Payment Routing using Non-stationary Bandits
This paper discusses the system architecture design and deployment of no...
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07/20/2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
Exploration and reward specification are fundamental and intertwined cha...
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07/12/2023
Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective
Obtaining rigorous statistical guarantees for generalization under distr...
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07/10/2023
Cobalt: Optimizing Mining Rewards in Proof-of-Work Network Games
Mining in proof-of-work blockchains has become an expensive affair requi...
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06/24/2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
Offline optimization paradigms such as offline Reinforcement Learning (R...
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06/13/2023
Empirical Measurement of Aesthetic Experience of Music
Chills or goosebumps, also called frisson, is a phenomenon that is often...
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06/02/2023
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations
Artificial Intelligence (AI) has significantly revolutionized radiology,...
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05/24/2023
Prompt Evolution for Generative AI: A Classifier-Guided Approach
Synthesis of digital artifacts conditioned on user prompts has become an...
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04/27/2023
Learning to Extrapolate: A Transductive Approach
Machine learning systems, especially with overparameterized deep neural ...
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03/31/2023
Augmented Collective Intelligence in Collaborative Ideation: Agenda and Challenges
AI systems may be better thought of as peers than as tools. This paper e...
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03/31/2023
Asking Better Questions – The Art and Science of Forecasting: A mechanism for truer answers to high-stakes questions
Without the ability to estimate and benchmark AI capability advancements...
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03/25/2023
Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification
The polycystic ovary syndrome diagnosis is a problem that can be leverag...
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03/23/2023
TactoFind: A Tactile Only System for Object Retrieval
We study the problem of object retrieval in scenarios where visual sensi...
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03/09/2023
Cherry-Picking with Reinforcement Learning
Grasping small objects surrounded by unstable or non-rigid material play...
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02/13/2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
Reinforcement learning algorithms typically struggle in the absence of a...
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01/16/2023
Wobble control of a pendulum actuated spherical robot
Spherical robots can conduct surveillance in hostile, cluttered environm...
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01/14/2023
Pendulum Actuated Spherical Robot: Dynamic Modeling Analysis for Wobble Precession
A spherical robot has many practical advantages as the entire electronic...
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12/15/2022
Neuroevolution Surpasses Stochastic Gradient Descent for Physics-Informed Neural Networks
The potential of learned models for fundamental scientific research and ...
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11/28/2022
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis
The advancement in the area of computer vision has been brought using de...
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10/24/2022
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
Dexterous robotic hands have the capability to interact with a wide vari...
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10/18/2022
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
Reinforcement learning provides an automated framework for learning beha...
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10/06/2022
Distributionally Adaptive Meta Reinforcement Learning
Meta-reinforcement learning algorithms provide a data-driven way to acqu...
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09/28/2022
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations
Teaching a multi-fingered dexterous robot to grasp objects in the real w...
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08/24/2022
Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor
Regression branch of Machine Learning purely focuses on prediction of co...
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07/02/2022
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits
To fully utilize the abundant spectrum resources in millimeter wave (mmW...
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06/05/2022
Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classification
The task of text classification using Bidirectional based LSTM architect...
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06/02/2022
Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods
Aerial Vehicles follow a guided approach based on Latitude, Longitude an...
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05/25/2022
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification
Many complex Deep Learning models are used with different variations for...
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05/02/2022
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation AI Models
For deep learning, size is power. Massive neural nets trained on broad d...
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04/20/2022
Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media
Mental Health Disturbance has many reasons and cyberbullying is one of t...
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04/19/2022
Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network
Image Forgery is a problem of image forensics and its detection can be l...
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03/29/2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
Reinforcement learning systems have the potential to enable continuous i...
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03/21/2022
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling
Studies have shown evolution strategies (ES) to be a promising approach ...
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03/19/2022
Teachable Reinforcement Learning via Advice Distillation
Training automated agents to complete complex tasks in interactive envir...
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02/28/2022
The Golden Circle: Creating Socio-technical Alignment in Content Moderation
This paper outlines a conceptual framework titled The Golden Circle that...
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02/17/2022
Combining Varied Learners for Binary Classification using Stacked Generalization
The Machine Learning has various learning algorithms that are better in ...
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02/15/2022
Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method
Medical Research data used for prognostication deals with binary classif...
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02/15/2022
HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment
Human actions involve complex pose variations and their 2D projections c...
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02/12/2022
State of AI Ethics Report (Volume 6, February 2022)
This report from the Montreal AI Ethics Institute (MAIEI) covers the mos...
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02/07/2022
Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations
The semantics are derived from textual data that provide representations...
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01/27/2022
Change Detection of Markov Kernels with Unknown Post Change Kernel using Maximum Mean Discrepancy
In this paper, we develop a new change detection algorithm for detecting...
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01/09/2022
Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication
A lot of prognostication methodologies have been formulated for early de...
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01/02/2022
Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
Prognostication of medical problems using the clinical data by leveragin...
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12/17/2021
Autonomous Reinforcement Learning: Formalism and Benchmarking
Reinforcement learning (RL) provides a naturalistic framing for learning...
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12/10/2021
The Co-Designed Post-Pandemic University: A Participatory and Continual Learning Approach for the Future of Work
The pandemic has shattered the traditional enclosures of learning. The p...
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11/09/2021
Nash Equilibrium Control Policy against Bus-off Attacks in CAN Networks
A bus-off attack is a denial-of-service (DoS) attack which exploits erro...
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10/07/2021
Offline RL With Resource Constrained Online Deployment
Offline reinforcement learning is used to train policies in scenarios wh...
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09/27/2021