Papers
Tue 23 Mar 2021
175 papers
- Student Network Learning via Evolutionary Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set RecognitionKnowledge distillation → General knowledge distillation methods
- Meta-Adversarial Inverse Reinforcement Learning for Decision-making TasksOffline RL and imitation learning from data → Inverse reinforcement learning
- The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?LLM safety and security → Backdoor and data poisoning attacks
- Joint framework with deep feature distillation and adaptive focal loss for weakly supervised audio tagging and acoustic event detectionKnowledge distillation → Speech and audio distillation
- How emoji and word embedding helps to unveil emotional transitions during online messaging
- The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
- Detecting cognitive decline using speech only: The ADReSSo Challenge
- Fabula Entropy Indexing: Objective Measures of Story Coherence
- Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes
- Robust and Accurate Object Detection via Adversarial Learning
- Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand
- Any Part of Bayesian Network Structure Learning
- Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment
- SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms
- Facility Reallocation on the Line
- Dual Online Stein Variational Inference for Control and Dynamics
- Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
- TeCoMiner: Topic Discovery Through Term Community Detection
- Complex Factoid Question Answering with a Free-Text Knowledge Graph
- Using Meta-learning to Recommend Process Discovery Methods
- Towards a Formal Model of Narratives
- Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks
- A High-order Tuner for Accelerated Learning and Control
- PAC-Bayesian theory for stochastic LTI systems
- Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation
- Actionable Cognitive Twins for Decision Making in Manufacturing
- Ground Truths for the Humanities
- Repairing Pronouns in Translation with BERT-Based Post-Editing
- Online Learning in Budget-Constrained Dynamic Colonel Blotto Games
- Learning to Optimize: A Primer and A Benchmark
- Fisher Task Distance and Its Application in Neural Architecture Search
- Detecting micro fractures: A comprehensive comparison of conventional and machine-learning based segmentation methods
- Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
- Co-matching: Combating Noisy Labels by Augmentation Anchoring
- Multipath-based SLAM using Belief Propagation with Interacting Multiple Dynamic Models
- JFB: Jacobian-Free Backpropagation for Implicit Networks
- Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling
- PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
- Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning
- Distributed Visual-Inertial Cooperative Localization
- DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
- Detecting Phishing Sites -- An Overview
- Scaling Local Self-Attention for Parameter Efficient Visual Backbones
- Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
- SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
- DeFLOCNet: Deep Image Editing via Flexible Low-level Controls
- Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
- Self-Supervised Pretraining Improves Self-Supervised Pretraining
- UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution
- Promoting Fairness through Hyperparameter Optimization
- A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
- Spatial Intention Maps for Multi-Agent Mobile Manipulation
- PanGEA: The Panoramic Graph Environment Annotation Toolkit
- A*+BFHS: A Hybrid Heuristic Search Algorithm
- QuestEval: Summarization Asks for Fact-based Evaluation
- Benign Overfitting of Constant-Stepsize SGD for Linear Regression
- An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap
- PAC-learning gains of Turing machines over circuits and neural networks
- Generative Minimization Networks: Training GANs Without Competition
- How to decay your learning rate
- The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
- Self-supervised representation learning from 12-lead ECG data
- Out-of-Distribution Detection of Melanoma using Normalizing Flows
- What is the Vocabulary of Flaky Tests? An Extended Replication
- Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
- Can I Solve It? Identifying APIs Required to Complete OSS Task
- Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images
- How Many Online Workers are there in the World? A Data-Driven Assessment
- Pairwise Adjusted Mutual Information
- GA-SVM for Evaluating Heroin Consumption Risk
- Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs
- Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems
- Virtual Light Transport Matrices for Non-Line-Of-Sight Imaging
- A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics
- Incrementally Zero-Shot Detection by an Extreme Value Analyzer
- DIG: A Turnkey Library for Diving into Graph Deep Learning Research
- ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
- MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
- An augmentation strategy to mimic multi-scanner variability in MRI
- BoXHED2.0: Scalable boosting of dynamic survival analysis
- Finite Impulse Response Filters for Simplicial Complexes
- MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
- Towards interpretability of Mixtures of Hidden Markov Models
- Multimodal Personal Ear Authentication Using Smartphones
- Transferable Semantic Augmentation for Domain Adaptation
- Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework
- A News Recommender System Considering Temporal Dynamics and Diversity
- NNrepair: Constraint-based Repair of Neural Network Classifiers
- Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature
- Balanced softmax cross-entropy for incremental learning with and without memory
- CLIP: Cheap Lipschitz Training of Neural Networks
- Enhanced Gradient for Differentiable Architecture Search
- Multilingual Autoregressive Entity Linking
- Region extraction based approach for cigarette usage classification using deep learning
- On gray-box modeling for virtual flow metering
- Global Correlation Network: End-to-End Joint Multi-Object Detection and Tracking
- Initializing ReLU networks in an expressive subspace of weights
- Stereo Object Matching Network
- Revisiting Self-Supervised Monocular Depth Estimation
All 175
- Expanding Semantic Knowledge for Zero-shot Graph Embedding
- Watermark Faker: Towards Forgery of Digital Image Watermarking
- Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
- Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization
- Attention-based neural re-ranking approach for next city in trip recommendations
- On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
- RPATTACK: Refined Patch Attack on General Object Detectors
- Applying graph matching techniques to enhance reuse of plant design information
- Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload
- Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
- Dual Mesh Convolutional Networks for Human Shape Correspondence
- Health Status Prediction with Local-Global Heterogeneous Behavior Graph
- Bandits with many optimal arms
- Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
- Deep KKL: Data-driven Output Prediction for Non-Linear Systems
- Partial Matching in the Space of Varifolds
- Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
- Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning
- Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery
- Modeling the Severity of Complaints in Social Media
- BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
- Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications
- OFFSEG: A Semantic Segmentation Framework For Off-Road Driving
- Neural ODE Processes
- Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech Detection
- Binary disease prediction using tail quantiles of the distribution of continuous biomarkers
- Detecting Hate Speech with GPT-3
- Diversity Regularized Interests Modeling for Recommender Systems
- Neural Network Controller for Autonomous Pile Loading Revised
- Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis
- Generalizing Face Forgery Detection with High-frequency Features
- Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
- Multi-Robot Task Allocation -- Complexity and Approximation
- ReCU: Reviving the Dead Weights in Binary Neural Networks
- A New Approach To Text Rating Classification Using Sentiment Analysis
- Group-aware Label Transfer for Domain Adaptive Person Re-identification
- A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition
- Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
- iMAP: Implicit Mapping and Positioning in Real-Time
- Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
- Shared Latent Space of Font Shapes and Their Noisy Impressions
- Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
- The Success of AdaBoost and Its Application in Portfolio Management
- Joint Distribution across Representation Space for Out-of-Distribution Detection
- Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
- Generalized Domain Conditioned Adaptation Network
- Salient Image Matting
- Contrastive Reasoning in Neural Networks
- Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
- Anomaly Detection using Principles of Human Perception
- Extracting Causal Visual Features for Limited label Classification
- Learning 6DoF Grasping Using Reward-Consistent Demonstration
- Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
- TMR: Evaluating NER Recall on Tough Mentions
- SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping
- IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
- Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
- Adaptive Illumination based Depth Sensing using Deep Superpixel and Soft Sampling Approximation
- Gradient Regularized Contrastive Learning for Continual Domain Adaptation
- Stochastic Reweighted Gradient Descent
- NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation
- Optimising the selection of samples for robust lidar camera calibration
- Annotation of Chinese Predicate Heads and Relevant Elements
- SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
- Learning Comprehensive Motion Representation for Action Recognition
- Conditional Training with Bounding Map for Universal Lesion Detection
- Dilated SpineNet for Semantic Segmentation
- Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
- Hallucination of speech recognition errors with sequence to sequence learning
- Spatio-Temporal Sparsification for General Robust Graph Convolution Networks
- Multi-Modal Answer Validation for Knowledge-Based VQA
- Gradient-enhanced multifidelity neural networks for high-dimensional function approximation
- Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography
- Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
- F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning