Papers
Thu 14 Apr 2022
170 papers
- Retrospective on the 2021 BASALT Competition on Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- MIMO Channel Estimation using Score-Based Generative ModelsDiffusion models → Diffusion for compression and wireless
- Composite Code Sparse Autoencoders for first stage retrievalMechanistic interpretability → SAE features and their applications
- Cross-Image Relational Knowledge Distillation for Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- Spatial Likelihood Voting with Self-Knowledge Distillation for Weakly Supervised Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness
- Usage-based learning of grammatical categories
- Machine Learning-Based Automated Thermal Comfort Prediction: Integration of Low-Cost Thermal and Visual Cameras for Higher Accuracy
- Backward Reachability Analysis for Neural Feedback Loops
- An alternative approach for distributed parameter estimation under Gaussian settings
- Distributed Reconstruction of Noisy Pooled Data
- How to Use K-means for Big Data Clustering?
- Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Task
- Stateless and Rule-Based Verification For Compliance Checking Applications
- Learning Spatially Varying Pixel Exposures for Motion Deblurring
- Imposing Consistency for Optical Flow Estimation
- Convergence and Implicit Regularization Properties of Gradient Descent for Deep Residual Networks
- Causal Transformer for Estimating Counterfactual Outcomes
- Methodical Advice Collection and Reuse in Deep Reinforcement Learning
- Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
- Minimizing Control for Credit Assignment with Strong Feedback
- Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification
- PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images
- The Art of Prompting: Event Detection based on Type Specific Prompts
- Constructing Open Cloze Tests Using Generation and Discrimination Capabilities of Transformers
- A* shortest string decoding for non-idempotent semirings
- Automatic Fake News Detection: Are current models "fact-checking" or "gut-checking"?
- Integrating Human Linguistic Insights into AI: Theory-Driven Representation for Multilingual Text-to-Speech
- On Scheduling Mechanisms Beyond the Worst Case
- Causal Disentanglement with Network Information for Debiased Recommendations
- Alternating Mahalanobis Distance Minimization for Stable and Accurate CP Decomposition
- Hierarchical Embedded Bayesian Additive Regression Trees
- EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs
- Testing distributional assumptions of learning algorithms
- Measuring Compositional Consistency for Video Question Answering
- Optimal quadratic binding for relational reasoning in vector symbolic neural architectures
- Interactive Object Segmentation in 3D Point Clouds
- Analysing similarities between legal court documents using natural language processing approaches based on Transformers
- Relaxing Equivariance Constraints with Non-stationary Continuous Filters
- Active Learning for Regression by Inverse Distance Weighting
- A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization
- Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
- A Level Set Theory for Neural Implicit Evolution under Explicit Flows
- Joint Forecasting of Panoptic Segmentations with Difference Attention
- Any-resolution Training for High-resolution Image Synthesis
- Tight Bounds for Quantum State Certification with Incoherent Measurements
- MiniViT: Compressing Vision Transformers with Weight Multiplexing
- What's in your hands? 3D Reconstruction of Generic Objects in Hands
- Deformable Sprites for Unsupervised Video Decomposition
- FREDA: Flexible Relation Extraction Data Annotation
- Neighborhood Attention Transformer
- CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
- Masked Siamese Networks for Label-Efficient Learning
- Accelerated Policy Learning with Parallel Differentiable Simulation
- Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems
- Reinforcement Learning Policy Recommendation for Interbank Network Stability
- Label Semantic Aware Pre-training for Few-shot Text Classification
- GIFS: Neural Implicit Function for General Shape Representation
- Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
- Exploring Dual Encoder Architectures for Question Answering
- DeiT III: Revenge of the ViT
- Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
- Generative power of a protein language model trained on multiple sequence alignments
- Residual Swin Transformer Channel Attention Network for Image Demosaicing
- Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery
- Weakly Supervised Attended Object Detection Using Gaze Data as Annotations
- Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling
- End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation
- Learning and controlling the source-filter representation of speech with a variational autoencoder
- Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure
- SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework
- A Unified Analysis of Dynamic Interactive Learning
- Panoptic Segmentation using Synthetic and Real Data
- EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting
- Streamable Neural Audio Synthesis With Non-Causal Convolutions
- Egocentric Human-Object Interaction Detection Exploiting Synthetic Data
- CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data
- Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking
- Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
- Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation
- Autonomous Satellite Detection and Tracking using Optical Flow
- Q-TART: Quickly Training for Adversarial Robustness and in-Transferability
- From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks
- Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
- Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference
- Learning Invariances with Generalised Input-Convex Neural Networks
- Interpretability of Machine Learning Methods Applied to Neuroimaging
- Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma
- XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Source
- Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
- Observable adjustments in single-index models for regularized M-estimators
- Atmospheric Turbulence Removal with Complex-Valued Convolutional Neural Network
- HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package
- Planting Undetectable Backdoors in Machine Learning Models
- The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark
- Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
- Latent Aspect Detection from Online Unsolicited Customer Reviews
- Finding MNEMON: Reviving Memories of Node Embeddings
- LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections
- Unsupervised Deep Learning Meets Chan-Vese Model
All 170
- BEHAVE: Dataset and Method for Tracking Human Object Interactions
- EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification
- Concentration of Random Feature Matrices in High-Dimensions
- Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis
- Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
- Handling sign language transcription system with the computer-friendly numerical multilabels
- A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems
- SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos
- Global Counterfactual Explanations: Investigations, Implementations and Improvements
- Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making
- Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach
- Exact and approximate determination of the Pareto set using minimal correction subsets
- Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
- RankNEAT: Outperforming Stochastic Gradient Search in Preference Learning Tasks
- Using Machine Learning for Particle Identification in ALICE
- Gradient boosting for convex cone predict and optimize problems
- Challenges for Open-domain Targeted Sentiment Analysis
- Implicit Sample Extension for Unsupervised Person Re-Identification
- Clothes-Changing Person Re-identification with RGB Modality Only
- Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task
- Shedding New Light on the Language of the Dark Web
- Program Analysis of Probabilistic Programs
- ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
- An Identity-Preserved Framework for Human Motion Transfer
- Semi-Supervised Training to Improve Player and Ball Detection in Soccer
- Ensuring accurate stain reproduction in deep generative networks for virtual immunohistochemistry
- OmniPD: One-Step Person Detection in Top-View Omnidirectional Indoor Scenes
- Surface Similarity Parameter: A New Machine Learning Loss Metric for Oscillatory Spatio-Temporal Data
- Modeling Indirect Illumination for Inverse Rendering
- GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping
- MARF: Multiscale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scanners
- Deep Vehicle Detection in Satellite Video
- How Gender Debiasing Affects Internal Model Representations, and Why It Matters
- The Vision of Self-Evolving Computing Systems
- Stream-based Active Learning with Verification Latency in Non-stationary Environments
- Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization
- deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks
- Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
- YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
- Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning
- Pyramidal Attention for Saliency Detection
- Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression
- Explainable Analysis of Deep Learning Methods for SAR Image Classification
- 3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
- Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
- ViTOL: Vision Transformer for Weakly Supervised Object Localization
- Learning topological defects formation with neural networks in a quantum phase transition
- Learning Task-Aware Energy Disaggregation: a Federated Approach
- Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission
- High-performance Evolutionary Algorithms for Online Neuron Control
- Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy
- HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks
- Multi-label topic classification for COVID-19 literature with Bioformer
- RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks
- Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning
- Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation
- Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR
- GPT-NeoX-20B: An Open-Source Autoregressive Language Model
- Learning Convolutional Neural Networks in the Frequency Domain
- Control-oriented meta-learning
- LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data
- SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study
- Leveraging convergence behavior to balance conflicting tasks in multi-task learning
- HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images
- Time Series of Non-Additive Metrics: Identification and Interpretation of Contributing Factors of Variance by Linear Decomposition
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport
- Revisiting Transformer-based Models for Long Document Classification
- GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks
- MINSU (Mobile Inventory And Scanning Unit):Computer Vision and AI
- Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking