Affinity Joint Poster Session
2022 Poster Session
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Affinity Workshop: Women in Machine Learning
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Affinity Workshop: Women in Machine Learning
Abstract
Please join us for the Joint Affinity poster session in Hall J (adjacent to the WiML workshop)
WiML Posters:
- ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets
- When are Local Queries Useful for Robust Learning?
- Natural language processing for automated information extraction of cancer parameters from free-text pathology reports
- Discriminative Candidate Selection for Image Inpainting
- Determination of Neural Network Parameters for Path Loss Prediction in Very High Frequency Wireless Channel
- DEVELOPMENT OF PREDICTIVE MODEL FOR SURVIVAL OF PAEDIATRIC HIV/AIDS PATIENTS IN SOUTH WESTERN NIGERIA USING DATA MINING TECHNIQUES
- Modelling non-reinforced preferences using selective attention
- Data Analysis and Machine Learning for Speech Music Playlist Generation
- Meta Optimal Transport
- Single-modality and joint fusion deep learning for diabetic retinopathy diagnosis
- Multi-Armed Bandit Problem with Temporally-Partitioned Rewards
- The use of Region-based Convolutional Neural Network Model for Analysing Unmanned Aerial Vehicle Remote Sensing
- Kernel Density Bayesian Inverse Reinforcement Learning
- Multimodal Checklists for Fair Clinical Decision Support
- Investigating Reproducibility from the Decision Boundary Perspective.
- DEVELOPMENT OF A MODIFIED LIKELIHOOD RATIO MODEL FOR HANDWRITING IDENTIFICATION IN FORENSIC SCIENCE
- Self-Supervised Graph Representation Learning for chip design-partitioning on multi-FPGA platforms
- Hierarchically Clustered PCA and CCA via a Convex Clustering Penalty
- deep Metric Learning to predict cardiac pressure with ECG
- Spatial clustering with random partitions on ovarian cancer data
- Object Segmentation of Cluttered Airborne LiDAR Point Clouds
- Identifying Disparities in Sepsis Treatment using Inverse Reinforcement Learning
- Multi Mix Mask – RCNN (M3RCNN) for Instance Intervertebral Disc Segmentation
- The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
- Towards an automatic classification for software requirements written in Spanish
- Exploiting Pretrained Biochemical Language Models for Targeted Drug Design
- Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty
- Shortcuts in Public Medical Image Datasets
- Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials
- Improving Robustness to Distribution Shift with Methods from Differential Privacy
- Quantifying Gender Bias in Hindi Language Models
- De novo PROTAC design using graph-based deep generative models
- Self-Contained Entity Discovery from Captioned Videos
- Reduce False Negative in Distant supervised learning using Dependency tree-LSTM to Construct a Knowledge Graph
- Break the bottleneck of AI deployment at the edge.
- Towards probabilistic end-to-end Deep Learning Weather Forecasting: Spatio-Temporal Temperature Forecasting using Normalizing Flows
- Bias Assessment of Text-to-Image Models
- Equivariant Framework for Spatial Networks
- Protein Structure Ranking with Atom-level Geometric Representation Learning
- Detecting Synthetic Opioids with NQR Spectroscopy and Complex-Valued Signal Denoising
- Identifying fine climatic parameters for high maize yield using pattern mining: case study from Benin (West Africa)
- GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
- Using Visual Similarity to Navigate eCommerce Inventory
- Mixture of Gaussian Processes with Probabilistic Circuits for Multi-Output Regression
- Synthetic Data Augmentation for Time Series Forecasting
- Task-conditioned modelling of drug-target interactions
- Can deep learning models understand natural language descriptions of patient symptoms following cataract surgery?
- Hyperbolic Image Segmentation
- Maximum Class Separation as Inductive Bias in One Matrix
- CLOOME: Contrastive Learning for Molecule Representation with Microscopy Images and Chemical Structures
- Boosting Multi-modal Contrastive Learning with Modern Hopfield Networks and InfoLOOB
- Global-based Deep Q-Network for Molecule Generation
- A Semantically Conditioned Code-Mixed Natural Language Generation for Task-Oriented Dialog
- Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting
- Modern Hopfield Networks for Iterative Learning on Tabular Data
- Delirium Prediction using Long Short-Term Memory (LSTM) in the Electronic Health Record
- Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations
- FACTORS INFLUENCING POSTGRADUATE STUDENTS' ACADEMIC PERFORMANCE: MACHINE LEARNING APPROACH.
- A Simple Phoneme-based Error Simulator for ASR Error Correction
- Follow the Flow: An Affective Computing Interface for the On-Line Detection of Flow Mental State
- Under-Counted Tensor Completion with Neural Network-based Side Information Learner
- Detecting State Changes in Dynamic Neuronal Networks
- Learning to Defer in Ranking Systems
- Categorizing Online Harassment on Twitter using Graph Convolutional Networks
- A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
- A Recommendation System in Task-Oriented Doctor-Patient Interactions
- Explaining Predictive Uncertainty by Looking Back at Model Explanations
- DaME: Data Mapping Engine for Financial Services
- Improved Text Classification via Test-Time Augmentation
- Model Interpretation based Sample Selection in Large-Scale Conversational Assistants
- Human-AI Interaction in Selective Prediction Systems
- User-interactive, On-demand Cycle-GAN-Based Super Resolution and Focus Recovery on Whole Slide Images (WSI)
- Self Supervised Learning in Microscopy
- Machine Learning for the detection of diabetic retinopathy
- Topic: Building Identification In Aerial Imagery using Deep learning
- Dynamic Head Pruning in Transformers
- Mobile-PDC: High-Accuracy Plant Disease Classification for Mobile Devices.
- CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
- Modeling Sharing Time Of Fake And Real News
- Interaction Classification with Key Actor Detection in Multi-Person Sport Videos
- Estimating Fairness in the Absence of Ground-Truth Labels
- Motor Imagery ECoG Signal Classification With Optimal Selection Of Minimum Electrodes
- A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow
- Generating High-Quality Emotion Arcs Using Emotion Lexicons
- Exposure Fairness in Music Recommendation
- DeepWear: Towards an Automated Textiles Materials Classification using a Taxonomy-based ML Approach
- Revisiting Graph Neural Network Embeddings
- Estimating the Treatment Effect of Antibiotics Exposure on the Risk of Developing Anti-Microbial Resistance
- Can we explain Aha! moments in artificial agents?
- Multimodal Deep Learning for Weapon Detection
- The Role of Expert-driven Prompt Engineering for Fine-grained Zero-shot Classification in Fashion
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