Papers
Sun 22 Jan 2023
54 papers
- Interpretability in Activation Space Analysis of Transformers: A Focused SurveyMechanistic interpretability → Circuits and mechanistic analysis
- DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsDiffusion models → Flow matching, time series and science
- Immersive Demonstrations are the Key to Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily Plant
- Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
- Awareness requirement and performance management for adaptive systems: a survey
- Information loss from dimensionality reduction in 5D-Gaussian spectral data
- The Backpropagation algorithm for a math student
- Deterministic Online Classification: Non-iteratively Reweighted Recursive Least-Squares for Binary Class Rebalancing
- Doubly Adversarial Federated Bandits
- Applied Deep Learning to Identify and Localize Polyps from Endoscopic Images
- FRAME: Fast and Robust Autonomous 3D point cloud Map-merging for Egocentric multi-robot exploration
- An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
- Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers
- Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
- Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model
- SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis
- Improving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories
- Lower Bounds on Learning Pauli Channels with Individual Measurements
- Apples and Oranges? Assessing Image Quality over Content Recognition
- Ensemble Transfer Learning for Multilingual Coreference Resolution
- MATT: Multimodal Attention Level Estimation for e-learning Platforms
- Representing Interlingual Meaning in Lexical Databases
- Energy Prediction using Federated Learning
- Unifying Synergies between Self-supervised Learning and Dynamic Computation
- Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
- Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
- LF-checker: Machine Learning Acceleration of Bounded Model Checking for Concurrency Verification (Competition Contribution)
- Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
- Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks
- Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision
- Causality-based Dual-Contrastive Learning Framework for Domain Generalization
- Design-based individual prediction
- Differentially Private Natural Language Models: Recent Advances and Future Directions
- Federated Recommendation with Additive Personalization
- Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study
- BallGAN: 3D-aware Image Synthesis with a Spherical Background
- Parallel Approaches to Accelerate Bayesian Decision Trees
- Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
- Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding
- Provable Unrestricted Adversarial Training without Compromise with Generalizability
- DASTSiam: Spatio-Temporal Fusion and Discriminative Augmentation for Improved Siamese Tracking
- 3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF
- Autonomous Rendezvous with Non-cooperative Target Objects with Swarm Chasers and Observers
- Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification
- Performance Study of YOLOv5 and Faster R-CNN for Autonomous Navigation around Non-Cooperative Targets
- Resource-constrained FPGA Design for Satellite Component Feature Extraction
- Champion Solution for the WSDM2023 Toloka VQA Challenge
- Learning to Reject with a Fixed Predictor: Application to Decontextualization
- The Shape of Explanations: A Topological Account of Rule-Based Explanations in Machine Learning
- Counterfactual (Non-)identifiability of Learned Structural Causal Models
- Condition monitoring and anomaly detection in cyber-physical systems
- Characterization and Learning of Causal Graphs with Small Conditioning Sets
- Cellular Network Speech Enhancement: Removing Background and Transmission Noise