Papers
Sat 28 Jan 2023
108 papers
- Controlling Steering with Energy-Based ModelsOffline RL and imitation learning from data → Imitation and offline RL for driving
- Few-shot Face Image Translation via GAN Prior DistillationKnowledge distillation → General knowledge distillation methods
- SEGA: Instructing Text-to-Image Models using Semantic GuidanceDiffusion models → Image generation, text-to-image and editing
- Supervision Complexity and its Role in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
- Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory PredictionDiffusion models → Flow matching, time series and science
- Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World ModellingWorld models → World models for language agents +1
- Master's Thesis: Out-of-distribution Detection with Energy-based Models
- Do Orcas Have Semantic Language? Machine Learning to Predict Orca Behaviors Using Partially Labeled Vocalization Data
- Localizing the Origin of Idiopathic Ventricular Arrhythmia from ECG Using an Attention-Based Recurrent Convolutional Neural Network
- GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network
- How learners produce data from text in classifying clickbait
- On the Lipschitz Constant of Deep Networks and Double Descent
- MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
- Composing Task Knowledge with Modular Successor Feature Approximators
- Presence of informal language, such as emoticons, hashtags, and slang, impact the performance of sentiment analysis models on social media text?
- ACL-Fig: A Dataset for Scientific Figure Classification
- Zero-shot causal learning
- CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
- Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer
- Context-Aware Differential Privacy for Language Modeling
- Pragmatic Fairness: Developing Policies with Outcome Disparity Control
- Node Injection for Class-specific Network Poisoning
- ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
- Methods and Tools for Monitoring Driver's Behavior
- TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine
- Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models
- Machine Learning Accelerators in 2.5D Chiplet Platforms with Silicon Photonics
- DeciLS-PBO: an Effective Local Search Method for Pseudo-Boolean Optimization
- Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
- Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
- A Closer Look at Few-shot Classification Again
- Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability
- Continual Graph Learning: A Survey
- Deep Operator Learning Lessens the Curse of Dimensionality for PDEs
- Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
- Interactive Log Parsing via Light-weight User Feedback
- Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
- Towards Accurate Acne Detection via Decoupled Sequential Detection Head
- Semantic Parsing for Conversational Question Answering over Knowledge Graphs
- Efficient Enumeration of Markov Equivalent DAGs
- Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
- Semantic Tagging with LSTM-CRF
- Privacy and Bias Analysis of Disclosure Avoidance Systems
- Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
- BAFFLE: A Baseline of Backpropagation-Free Federated Learning
- CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
- Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
- Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
- Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
- MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring
- Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging Data
- Stochastic Dimension-reduced Second-order Methods for Policy Optimization
- ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts
- Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits
- Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning
- Heterogeneous Datasets for Federated Survival Analysis Simulation
- Dynamic Point Cloud Geometry Compression Using Multiscale Inter Conditional Coding
- ClusterFuG: Clustering Fully connected Graphs by Multicut
- A System for Human-AI collaboration for Online Customer Support
- Layout-aware Webpage Quality Assessment
- Selecting Models based on the Risk of Damage Caused by Adversarial Attacks
- POSTER++: A simpler and stronger facial expression recognition network
- What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion
- Multilingual Sentence Transformer as A Multilingual Word Aligner
- Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets
- AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion
- Underwater Robotics Semantic Parser Assistant
- AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
- Restricted Orthogonal Gradient Projection for Continual Learning
- Physics-informed Neural Network: The Effect of Reparameterization in Solving Differential Equations
- On Pre-trained Language Models for Antibody
- Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
- Reachability Analysis of Neural Network Control Systems
- Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints
- Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
- MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics
- Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again
- Informational Diversity and Affinity Bias in Team Growth Dynamics
- Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
- Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
- ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning
- Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
- Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
- RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning
- Learning Optimal Features via Partial Invariance
- Truth Machines: Synthesizing Veracity in AI Language Models
- Decentralized Entropic Optimal Transport for Distributed Distribution Comparison
- HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption
- (Private) Kernelized Bandits with Distributed Biased Feedback
- Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
- Object Preserving Siamese Network for Single Object Tracking on Point Clouds
- Variational Latent Branching Model for Off-Policy Evaluation
- TIDo: Source-free Task Incremental Learning in Non-stationary Environments
- Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning
- Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations
- Leveraging Importance Weights in Subset Selection
- Predicting Students' Exam Scores Using Physiological Signals
- Making Reconstruction-based Method Great Again for Video Anomaly Detection
All 108
- Backpropagation of Unrolled Solvers with Folded Optimization
- Semantic Adversarial Attacks on Face Recognition through Significant Attributes
- ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
- Harnessing the Power of Decision Trees to Detect IoT Malware
- STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning
- Analyzing Robustness of the Deep Reinforcement Learning Algorithm in Ramp Metering Applications Considering False Data Injection Attack and Defense
- Norm-based Generalization Bounds for Compositionally Sparse Neural Networks
- BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models