Papers
Sat 1 Oct 2022
90 papers
- Multimodal Analogical Reasoning over Knowledge GraphsLLM reasoning → Multimodal reasoning
- Swift Markov Logic for Probabilistic Reasoning on Knowledge GraphsLLM reasoning → Test-time compute and efficient thinking
- Multi-stage Progressive Compression of Conformer Transducer for On-device Speech RecognitionKnowledge distillation → Speech and audio distillation
- A new nonparametric interpoint distance-based measure for assessment of clustering
- Synthetic Text Detection: Systemic Literature Review
- Cross Task Neural Architecture Search for EEG Signal Classifications
- T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network
- Disentangling Mixtures of Unknown Causal Interventions
- Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
- Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data
- Bayesian Q-learning With Imperfect Expert Demonstrations
- STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting
- Latent Hierarchical Causal Structure Discovery with Rank Constraints
- Ten Years after ImageNet: A 360deg Perspective on AI
- Multi-objective Deep Data Generation with Correlated Property Control
- BIASeD: Bringing Irrationality into Automated System Design
- CGELBank: CGEL as a Framework for English Syntax Annotation
- Physical Computing: A Category Theoretic Perspective on Physical Computation and System Compositionality
- Transfer Learning for Individual Treatment Effect Estimation
- NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)
- Convolutional Neural Networks on Manifolds: From Graphs and Back
- Parameter-varying neural ordinary differential equations with partition-of-unity networks
- A Comparison of Transformer, Convolutional, and Recurrent Neural Networks on Phoneme Recognition
- DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
- Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection
- Counter-Adversarial Learning with Inverse Unscented Kalman Filter
- Social and environmental impact of recent developments in machine learning on biology and chemistry research
- Model-X Sequential Testing for Conditional Independence via Testing by Betting
- Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
- Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
- Identifying Selections Operating on HIV-1 Reverse Transcriptase via Uniform Manifold Approximation and Projection
- Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
- Longitudinal Sentiment Analyses for Radicalization Research: Intertemporal Dynamics on Social Media Platforms and their Implications
- Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot
- Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
- MALM: Mixing Augmented Language Modeling for Zero-Shot Machine Translation
- PathFinder: Discovering Decision Pathways in Deep Neural Networks
- Implementation of a Three-class Classification LS-SVM Model for the Hybrid Antenna Array with Bowtie Elements in the Adaptive Beamforming Application
- Using Argumentation Schemes to Model Legal Reasoning
- Learning Hierarchical Image Segmentation For Recognition and By Recognition
- CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
- Parametrized Power-Iteration Clustering for Directed Graphs
- LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
- Learning Globally Smooth Functions on Manifolds
- Federated Representation Learning via Maximal Coding Rate Reduction
- An Ensemble of Convolutional Neural Networks to Detect Foliar Diseases in Apple Plants
- Gait-based Age Group Classification with Adaptive Graph Neural Network
- Deep Intrinsically Motivated Exploration in Continuous Control
- DeltaBound Attack: Efficient decision-based attack in low queries regime
- NeuroEvo: A Cloud-based Platform for Automated Design and Training of Neural Networks using Evolutionary and Particle Swarm Algorithms
- Construction and Evaluation of a Self-Attention Model for Semantic Understanding of Sentence-Final Particles
- Failure-informed adaptive sampling for PINNs
- Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2
- Offline Handwritten Amharic Character Recognition Using Few-shot Learning
- FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
- Solar Power Time Series Forecasting Utilising Wavelet Coefficients
- Long-Tailed Class Incremental Learning
- Fine-tuning Wav2vec for Vocal-burst Emotion Recognition
- Primal-dual regression approach for Markov decision processes with general state and action space
- Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data
- Blindly Deconvolving Super-noisy Blurry Image Sequences
- Heterogeneous Graph Contrastive Multi-view Learning
- On The Relative Error of Random Fourier Features for Preserving Kernel Distance
- Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
- Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation
- Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
- Contour-Aware Equipotential Learning for Semantic Segmentation
- Solving Coupled Differential Equation Groups Using PINO-CDE
- Motion-inductive Self-supervised Object Discovery in Videos
- A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question Answering
- Nested Search versus Limited Discrepancy Search
- Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement
- HyperHawkes: Hypernetwork based Neural Temporal Point Process
- Efficient Quantum Agnostic Improper Learning of Decision Trees
- Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States
- FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation
- Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation
- Pitfalls of Gaussians as a noise distribution in NCE
- Design of Fuzzy Logic Controller for Washing Machine
- Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks
- Structure-Aware NeRF without Posed Camera via Epipolar Constraint
- EAPruning: Evolutionary Pruning for Vision Transformers and CNNs
- On the tightness of linear relaxation based robustness certification methods
- A Combinatorial Perspective on the Optimization of Shallow ReLU Networks
- Technical Report-IoT Devices Proximity Authentication In Ad Hoc Network Environment
- Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022
- Predictive Inference with Feature Conformal Prediction
- Automated segmentation of microvessels in intravascular OCT images using deep learning
- Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
- Adversarial Attacks on Transformers-Based Malware Detectors