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)

Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NeurIPS 2024 Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification ICML 2024 Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization NeurIPS 2024 Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models ICML 2024 Bayesian Regression Markets JMLR 2024 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models ICML 2024 BBQ: A Fast and Scalable Integer Priority Queue for Hardware Packet Scheduling NSDI 2024 B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable NeurIPS 2024 BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge SemEval 2024 BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NeurIPS 2024 Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks ICLR 2024 BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation ICML 2024 BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation CVPR 2024 BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation NAACL 2024 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NeurIPS 2024 Benchmark Data Repositories for Better Benchmarking NeurIPS 2024 Benchmarking Algorithms for Federated Domain Generalization ICLR 2024 Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT ICML 2024 Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models Interspeech 2024 Benchmarking Diffusion Models for Machine Translation EACL 2024 Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization NAACL 2024 Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming NeurIPS 2024 Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NeurIPS 2024