conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

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Papers (including subtopics)

Resource Acquisition for Understudied Languages: Extracting Wordlists from Dictionaries for Computer-assisted Language Comparison COLING 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NeurIPS 2024 Resource Democratization: Is Compute the Binding Constraint on AI Research? AAAI 2024 Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024 Resource-Efficient Neural Networks for Embedded Systems JMLR 2024 Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps Interspeech 2024 Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024 Response Enhanced Semi-supervised Dialogue Query Generation AAAI 2024 Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024 REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates ICML 2024 Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024 RETAIN: Interactive Tool for Regression Testing Guided LLM Migration EMNLP 2024 ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift ICLR 2024 Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract) AAAI 2024 Rethinking Centered Kernel Alignment in Knowledge Distillation IJCAI 2024 Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models ICLR 2024 Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation IJCAI 2024 Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024 Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024 Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space CVPR 2024 Rethinking Imbalance in Image Super-Resolution for Efficient Inference NeurIPS 2024 Rethinking Knowledge Distillation With Raw Features for Semantic Segmentation WACV 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NeurIPS 2024 Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking AAAI 2024 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NeurIPS 2024